{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 转移曲线参数解析\n",
    "把文件放入data中，注意文件名要包含key，X_Axis和Y_Axis为excel中栅压和元漏电流对应的列名。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING *** file size (262208) not 512 + multiple of sector size (512)\n",
      "WARNING *** OLE2 inconsistency: SSCS size is 0 but SSAT size is non-zero\n",
      "WARNING *** file size (960701) not 512 + multiple of sector size (512)\n",
      "WARNING *** OLE2 inconsistency: SSCS size is 0 but SSAT size is non-zero\n"
     ]
    },
    {
     "data": {
      "image/png": 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x48qoUaOU8PBwRa/XK1FRUcpNN92kzJs3r7rNueXz27dv/6uPRVEURSkpKVGee+45JSUlRTGZTIqXl5fSsGFDZdKkSUpOTk6Ntu+8844SFRWlGI1GpV27dsqOHTsuunz+jz7HOenp6QqgAMqGDRv+sE1eXp4yYcIEJSYmRtHr9Up4eLjSrVs3Zfr06Re97s6dOxVAefbZZy/a5tSpUwqgPPzww4qiqF8rs9l8Qbvnn3/+gu+Zzz77TKlTp45iNBqV+vXrK1988cUftrtYqQFFUZTk5GRFo9EoZ86cqXHc4XAojz32mJKamqr4+PgoZrNZSU1NVaZOnVqj3e+/t+bNm6fccMMNSmhoqGIwGJTY2Fhl/PjxF3ztBOFqkBTlf/gVUhAEQfjXadKkCYGBgaxevfpqd0UQrjiRIyQIgiBU27FjB3v27GHUqFFXuyuC8LcQI0KCIAgCBw4cYOfOnbzzzjsUFhZy4sSJi64UFIR/EzEiJAiCIDBv3jzGjh2Ly+Xi22+/FUGQcN0QI0KCIAiCIFy3xIiQIAiCIAjXLREICYIgCIJw3RIFFS9BlmWys7Px8fG56D5GgiAIgiBcWxRFoaKigsjIyAsKov6WCIQuITs7+y9t9igIgiAIwrUnMzOT6Ojoi74vAqFLOLe1QGZmJr6+vle5N4IgCIIg/BXl5eXExMRccosgEQhdwrnpMF9fXxEICYIgCMI/zKXSWkSytCAIgiAI1y0RCAmCIAiCcN0SgZAgCIIgCNctkSMkCIIgCMI1R5ZlnE7nRd/X6/Votdr/+T4iEBIEQRAE4ZridDo5efIksiz/aTt/f3/Cw8P/pzp/IhASBEEQBOGaoSgKOTk5aLVaYmJi/rAYoqIo2Gw28vPzAYiIiPh/308EQoIgCIIgXDPcbjc2m43IyEhMJtNF23l7ewOQn59PaGjo/3uaTCRLC4IgCIJwzfB4PAAYDIZLtj0XKLlcrv/3/UQgJAiCIAjCNeev5P1cjj1ARSAkCIIgCMJ1SwRCgiAIgiBct0QgJAiCIAjCdUsEQoIgCIIgXBWK2411y1YURbnwvT849v9pcynXTSBks9mIi4vj0UcfvdpdEQRBEITrliLL2HbuJPfFl0jv2InTY8bgSEurfv/cMvg/qyp9js1mA9Qq0/9f100doVdeeYXWrVtf7W4IgiAIwnVHkWWq9uylfNkyKlaswH22ECKANjAQV1YWXvXrA6DT6TCZTBQUFKDX6y9ZUNHf3/9/2mrjugiE0tPTOXLkCH379uXAgQNXuzuCIAiC8K+nKAqOtDTKlyyhbOlS3Nk51e9pLBZ8unXF96a+mNu0RtKdD0ckSSIiIoKTJ0+SkZHxp/c4t8XG/+KqB0Lr16/nrbfeYufOneTk5LBw4UJuvvnmGm2mTJnCW2+9RW5uLqmpqXz44Ye0bNnyL9/j0Ucf5a233mLTpk2XufeCIAiCIJyjKAr2Q4eoWPkzFStX4jx5svo9jdmMT/du+PTqhbldOzTnCia6L5wCMxgM1KlT5/rYdNVqtZKamsrtt9/OwIEDL3h/7ty5TJw4kU8++YRWrVrx/vvv07NnT9LS0ggNDQWgcePGuN3uC85duXIl27dvp27dutStW1cEQoIgCIJwmSmyjH3fPsp//pmKFStxnTlT/Z6k12Pp3BnfPn2wdO6ExstLfcNlh8NL4OACOLoS7tsOvjX3C9NoNHida38FScrlSLm+TCRJumBEqFWrVrRo0YKPPvoIAFmWiYmJ4f777+fJJ5+85DUnTZrErFmz0Gq1VFZW4nK5eOSRR3juuef+sL3D4cDhcFS/Li8vJyYmhrKyMnx9ff+3DygIgiAI/wKKomDfu5eyn5ZekPMjeXlh6dABnxtuwNK5E1ofH/UNpxXSf4bDi9Xgx1lx/oI3vQ/Nx17WPpaXl+Pn53fJ/7+v+ojQn3E6nezcuZNJkyZVH9NoNHTv3p3Nmzf/pWu89tprvPbaawB8+eWXHDhw4KJB0Ln2L7zwwv/WcUEQBEH4l1EUBfuBA5QvW07F8uW4srOr39OYzVg6dcLnhh5YOnZEc26zVFsx7PsOjvwE6SvBZTt/QZ9IaDgQJWkgUnTTv/nTnHdNB0KFhYV4PB7CwsJqHA8LC+PIkSNX5J6TJk1i4sSJ1a/PjQgJgiAIwvXIcewYZUuWUL50Ga7Tp6uPSyYTPt264Xtj75o5P7Zi2Pkd7J8HGRtBkc9fzD8OkvpBg/6cDkrh29wSFmWVsDzcg5/+6oQk13QgdLmNGTPmkm2MRiNGo/HKd0YQBEEQrlHOU6coX/kz5cuX4Th0uPq45O2NpXMnfHv1xtKxAxpvb/WNynzYuxgO/wgnfwXFc/5ioclQ9wZo0I/ikBSWFZazKL+EDXsPoMmrQptfxaxgPybUjvqbP6Xqmg6EgoOD0Wq15OXl1Tiel5f3Py+Xu5QpU6YwZcoUPB7PpRsLgiAIwj+cu6iI8iVLKP3hhxrBDzodlg4d8O3TB5+uXWpOe+2cCwcWwKlfa478hDWElFsgeSDFliiWF5TxY0Epv+7bi5JThTa3CmO5q7p5ztZdIAKhCxkMBpo1a8bq1aurE6hlWWb16tXcd999V/TeEyZMYMKECdXJVoIgCILwb6M4nVSuX0/pgoVUrl8P51Zg63SYW7XCp0cPfHregC4gQD3uqIC9c2H/93BiLci/WbEd2RSS+kODvhT5xLG0sJQlGWVsyNoDuerIj67sfPCjkWTqBxwlxZxFc/92f9+H/p2rHghVVlZy7Nix6tcnT55kz549BAYGEhsby8SJExk9ejTNmzenZcuWvP/++1itVsaOvbzZ5YIgCIJwvbCnpVE6fz7lPy7BU1JSfdyrUSP8bu6Pb+/e54MfpxUOzIeDi9SEZ7f9/IXCUyB5ICQPoNQnhqWFZSzOLOXX7D2Qb0ebW4W+9HwtIAmF2v7HaepzmmDZykF7MZV5TnQ9b/h7PvgfuOqB0I4dO+jSpUv163OJyqNHj+bLL79k6NChFBQU8Nxzz5Gbm0vjxo1Zvnz5BQnUgiAIgiBcnGy1UrZ0KaXfz8O+b1/1cW1IMH79+uE/cCDGxET1oMcFacvVkZ+0ZeCynr9QYAKkDIGUWyj3T2BZgRr8rM/cg3x25Ef/m2kvCZn6gek09MojULGS7iqhNL+SJmVN6K25AX9DCL8cqoDaf9eTqOmaqiN0LfltjtDRo0dFHSFBEAThH+fckvfSBQsoX/wjsvVsQKPX49OlC/63DMLctq26xYWiQOY22P+dmvdTVXz+QgG1IHkAJA/AHZrCmpIKvssp5ueThXhybGjy7Wis56fJJGTq+J8kyVhIkFJBmrsAb1spHUsbkUIjgr3UfCAnbjI0+YS0rEXDm1td1s/+V+sIiUDoEv7qgxQEQRCEa4Wn0krZokWUzp2DI/18+okhLg7/IUPwu7k/uqAg9WDxCTXvZ98cKDl1/iLmUGg4CFIGo0Q2YXdlFYvySpiXnk/5mQo0uVVobOcXFGklD/X9j5FkKMEiWznqzCXAZqNdeQr1pWRCzgY/Cgp5UikHvM5wRirGLbu58847iY6OvqzP4F9RUFEQBEEQhL/OkZ5OybdzKPvhh+rRH8loxOeGG/AfOABTq1ZIGg04bbB3Duz6GjI2nL+AwQIN+kLKYIjvRIbTw5ycIuas3EPB6Qo0uXY0Nnd18KDTuEkJOkSSvhStq4qjjhzkPJmG1sYM1LUlwBgG51bYY2e/dyZnDMWUOSpBARTw0khUVlZwtYhASBAEQRD+wWSnk4oVKymZO4eqHTurjxsSEggYcSt+/fqd3+YiZy/snKnm/jjKz7aUILELpN4K9W+kQuPFj/mlfL3pKPuOFqHNtqGxng9+tBoPDQMP09BQiEEu54i9AEeRhvaVTRmq64KfIRjMaluH4uSgOZdcSznZ5Xlq8OMADaCxVaB43Ni9zDhycqB+g7/pidUkAiFBEARB+AfylJZS/M03lMyajaf4bD6PVotP164EDB+GqU0bJEkCVxXs+RZ2fAZntp+/gH8sNLkNGt+K4hvF7nIbnx7IZemBHOTsKjSlTvRnm2o1bpIDj5KsK0brriTdlYmjSEuLymbcou+lBj9nywu5cJPmU0RBQCUZxWfUTdHPxlwaRxWS24XH6I1s8qnuyrF9p0g9v27qbyUCoYsQBRUFQRCEa5EjPZ3ib76h7IfFKDZ17y5dRAT+twzC/5Zb0J9bVZ27H3Z9Bfvmgr1MPabRq1tcNB0FtTqS7XTzVWYh367cQvEpK5oiBxLqiA0o1A44RTNjNl5yKYcd2dgLFTpWNmeYoQv+hpDqkR83btJ8SygJdXK6+DQ2mw3O7sMquV1Ibhey3oBs9AajOlcmyRp8FYn4oHSa1e/xdz2+C4hk6UsQydKCIAjC1aYoCrZt2ymaMQPrhvM5Pcb69Qm68058e/VUV345beq0147PIWfP+Qv4x6rBT9PRKOYQNpRUMHnvCbYcKkGTU4XkPh8KhPvm08Irg0BPBaccOQRYbXSqbE5tXX015+csDzIZflZKotycLs2gqLjo/P08HiTZjaIzgCRVH5Y8WvyB2OBjBNY+hdv7DABNmswiMKDNZX1mIllaEARBEP7hFLebipUrKfriS+z796sHNRp8unUlYMRITK1aqtNfxSdgxxfqCJC99Gw7PdTvowZACV3IcbmZdSqHr7avpyzDgabChfbsfcxeNtr4HSZaKeW4PRdHUTH1yppys+4mQrxiqkd+ZGSyfByUJkjk27M4mXEKTpzrrAweD2h1oNWiaNWra10GAjVOYiPS8U04hduQC4AbkBVId2gIrcwlMOBveKB/QARCgiAIgnCNkauqKJ03n+IvvsCVnQ2oq7/8Bw0kcOxYDDExat2f46thy8dwbNX5k/3joMWd0HgELu9AfsotYvLiTaSfcKAptCPJ6tSXpJGp73+GxlI2Ze4zOApyiCtP5kbNDYR710JjUQMZRVHI9HFgSzJhpZiDhw/gTHP9prMyaDQgaUCnTqrpXUbCvIqJiTiFd1wmLm0BcC74kUh3SOyr0rLXpsPp0uMVriEl5u94shcSgZAgCIIgXCPcJSWUfPttjQRobWAgAbfeSsDwYWrtH7cT9nwDGydDwW82R63dHZrfAXV7csbp4aPDx5i3fS+uMw4kp1w9+uNrstJKn4Xek0V55UHCS2Lpo7Qk2lQXncVQfblcLyflyX4ofhXsP7if0n3l5++lKOenvDQaUMDoMhFpySYy7gS68JPIkpq/5AJkNByxa9ltlThQpaVKkYi3GZlUkUPPqkoOJFzBh3oJIhASBEEQhKvMXVRE0fQZlMydi2JX9/LSR0URdOcd+A0YgMbLS93za/NU2PwRlGepJxos0GQktLwLJTCBtUUlvL18EwfSnEh5diRAAgwGF03MWcQ4ysl37yOk1EnHqlYkmLtgMp/PnynQOSlo4I9fgpa0tD2cPPgr1dlDvw1+JAlJljArRqL9ThIal4kUdAoZBwAy4MDIfpvEXptMml2LU5HwdprpVeHgblsGkW51MZIc04pm8aFX/BlfjAiELkKsGhMEQRCuNE9pKUWff0HxrFnVK8CMSQ0Iuv2O8wnQ1iJY9wFs/eT8theWMGh9DzQbi1Xvw4yj6Xz64xrKM1xoqjxnV31BhG8JrZRc7I4MlOJjNC5rSJLxJkK9Y+Hs4I9NcnM01gv/5sGU5x5m377N2NPdF3ZWkpDcGnw1OqIDThAcfxLZNwO1VvTZEkGShV1W2Fbh4pRTg4KExuVDitXIeOsp2jtPIwGKRg+NbkFpOR63ph6GSMuVfdB/Qqwau4QrtWqsyulAr9Wj02ou3VgQBEH4V/FUVFD8xZcUz5xZXQHaq2FDQh58AHP79moCdNFx2DIVds8Gd5V6YkA8tHsQUoeT6YZXd+xg+R47co4DSVabaLUeks0F1HLkU+7ZRr0Sb1orLYkzJ2PQegEgo3DU34O7VQz+llJ2bfyV/JLSGiu8zpHcEv5aidiQdPxrHUc25dV436YNZ3uFk63lNrJd6hiU4jYRUxHCbdYchrmOVQdm+ESoK9eajqUqQ0vFL2dwZVcSNrEZ+hDTZX3GYtXYNW7++vdRqn7GN/QB+jS/SQREgiAI1wHZbqdk9myKps/AU6bW9jHWq0fI/fdh6dZNDYBy9sH6t+Dwj3BuYioiFdo+AEk3c9RaxhMr17PzsISm0Amo019+ZhttlCKwp6MrOkSb8hTqmwcT4nM+C7lQ5+ZYUgBxzYKo2LWeg+t/oXrl/G+DIDf4a3XEBh0jIPEosrca/Kixlha7IYYdFS5+LiqizKPmDikeLwwVteludfCocxehHDl7XS3U7QlNR+MJ64h1TxHW6Zl4itQpQEmvwZVtveyB0F8lRoQu4UqMCHk8bn5c0Qofr1IAjpUlExD2AP1adMFLr/3zkwVBEIR/HMXppHT+fAo//gR3vlpp0JCQQMgDD+BzQw91/6+8Q7DuNTi8+PyJtXtAuwegVgd+yTrISxtPcjTdgKby3NSVQpxvGc0qKylnMzFldtrJLYi3pGDUqoULPSjsCtWgtIoiylDAtrVrKbLaLhz98YCfRktM8DECax1FMedXvyVJemTv+uyxaZifdZxKWQ2JFEWDp7IudSoCedCZRhdlD5pzwZtPJDQfi9J4JI4CE9atOVQdLFLXzAOStw5L20gsbSPRmvVcbmL3+cvkSk2NzZn8EK6Ao4RHHEWjUb8Eewub4xc6gaFt2mIxisE6QRCEfzpFUahcs4b8N9/CmZEBgD4ykuAJE/Dr30/NAco7BL+8AYcWnT1LgoYDocOjyCH1mHN0I+9sLqXwlB7JoQYgklYhybuUeGsBTmU9rUpjaWRoRoQpvvrehToPB5L8iWseQsn2New7mo5b+t3sg6xg8uiICTxDaOJh8M2qfkuS9BgsjTjkMDMn8wgFzsrq9zxVMWhLUxjsKOce/S+EOM+fR3wnaH47cmxPrHuKsW7NwV1YVf22IdYHc4twvFND0Biu3C//IhC6TK5EICS73Tw76yPWmurQKWsbjcI3EBJ6CkkCt6xha147gsLuZmS7Zvh5X/4oWRAEQbjy7Glp5L32OrYtWwDQBgcTfM/d+A8ejMZggIKj6gjQwYVUT4El9YdOT+IOTuSTvWv4eKuHyjMaJI/6vs4g01hXSaB9H17Og3SraEF9n6aYder/TzIKewLA1iqSeFMxO9f8TL7NDprfBByKgsEtEelfSlTsITQhJzk36SVJWnz8WnGGCOZlHWNfcXr1abLLF1dZE+IrI3jKcoh2tjXoPGqCN0Y/aDICpdntOCtDsW7Lxba/gHPzbpJBi6lJCObWkRgizFfuof+GCIT+R79dNXb06NHLGgi5ZYXk9VspU7zQyh4aZp2gfeFWGsRsISAoBwC728CazBuIjrmdse0b4G8yXOKqgiAIwrXAXVhIweQPKZ03D2QZyWAgcMwYgu66C63FDPlHYP2bcGAB1QFQg37Q+UkcAVF8tGsV03d4Y88C6ezb3t5umjhteLOK2PIqOnpaE29piE6j/rJcoXGzId5EQIsQTAd+Zc+hQzj1Xr/b3kIhxNtOXNQRvKKOgsZZ/Z6vbyoO78asKCzip9MbcMnqe4qsxV2ZjKe0KSO9XNytX0ZY6Z7zHzY0CVrciVz3FmyHrFRuycGdZ6t+Wx9hxtw6AlPjEDR/80yHCIQukysyIqTI9Pt+HAe9O1NlSQHA4HbS6Mxx2pVvISluExZfdYlksd2fZaf60bD2EG5vnygCIkEQhGuU7HBQ/MWXFE2fjnx2KbxP716EPvIohugoKDymjgAdmE91AFSvD3SZhN0/hI92LOPTXcFU5WiqAyA/s4umtnI0yk80KfOnpb4NkabE6nueNDrZlhpM7TgoWL2ErDIrik5/PgBSFEySTHzocQITD4L+/PSWyZSAb1APtlsl5hxfQ1blmer3PPZwXKXNCfc05pnwI3QuW4ix7KT6pkYHDfpC8ztw6lKp3JJL1b4CFNfZUSW9Bu/UECytItBHW9QE8KtABEKXyZXKEcp68QWKF8zn40EtWdyiP26jmtXv5bLT/NQROrp+oU78dgxe6rzq6fIolpwaQJsGvbmzQ4IIiARBEK4h1k2byHnhBVwZpwF1KXzYk09gat4cKvJg7cuwe5a6HxdA/Zug0xNU+QcxeetPfLErnKp8LedChgCLm6bWIjTKEtqW1KKZqTWBxghAnf7aEuAhvVk4Ce7TZP26hkqtUa3wfJakKISYy6ldezta/5zq43p9IGGhfSgx1Oe7U1tZk7kWj6LWy1M8RlzljaG8JUNjwhhnXEX0qYVIzgr1ZC8/aH4HSrNx2E7psG7KxplZUX1tXagJS6twTE3D0Hhf/TxXEQhdJlciEFI8HjJGj6Zqx04AHEG+vDW4Jesa9MJjiAIgwFZO84zDdDCsJj52Dxqd+o16pLg2S08NoFtqV+5oHy9yiARBEK4iV14++W++SflPPwGgCwkh9PHH8O3TB8lth81TYMN74FJrBVG3N3R5iir/IObu/JZ3tsVTke9VfT1/i0IjWxYm91I6lTUg1dwaX0MQAE5klkdqKW4aQOSxreQcOYzLaKox/WWQ3NQKP05o4g4kzbm8HwMhId0JCu3L5pJSvjr8LSfKjlWf47HF4ixtSZyhNY/WLaNb6fcYjv9M9ahVUB1oNR5X9ABs+yuxbs9Frjy715hWwpQSjLl1BIY436s2+vNHRCB0mVypESFFUahYvpz8t9/BlaVm21vjwnlpcDu21eqJovUBIMBaTvtTu+ngu5LIyDSksyvMtuU0YUXmAAa3asWYtrUwi1VmgiAIfxvF7aZ41iwKJ3+oToNJEgEjRhDy0INoTSbYNwdWvwQV6oapRDWHnq/giqjH4t1f8fqWYPKz/dUqy0CgH6RWnMbiXEbnshQa+rbGovcHwCq5+SHeC2c9Iz6bl1FabkUx/GZWQFGwGOzUrrsdn6CM6sM+PilERAxCY2nF98eXMufI91jdZ2v+yHpcZU3RVLTlxjqNuCd4L4nHvkDK3X/+unVuQGk+niprCpVbc3FmnN9rTOtrwNwqAnPLcLQ+1+YMhQiELpMrFQgBKLKC4nJS8s23FH3ySXVxraKGtXnh5vYciGiPolGz62OLcumUuZ1mYesICTsFEnhkDSszOrMp7ybGtk/htjZxog6RIAjCFVa1/wA5zz+H45C64al3aiphzz2Ld3IynPgFVj4N5wIKv1jo/jxy0k38enAuT/8CmdnB55Og/bQ0t2XhZ/uBLuWNaOjXpnoFWJnGzfd1TBDtwvTrMmyKBrS//RmvEOJTSK16m/AyqUGKVmshInwAUVHDybC7+eLATH7OWInM2X29nAE4S9pQx7srY5on0F9ZjXHL5PN7l+m8ockI5NTxVB7zpnJTNnL52aRqCbzqBmBqHoZ3UhDSNV4IWARCl8mVCoRWbshk36rTjLqvMaHBZjwVFRR99hnFX31dvd9MUfOGPNOvA0eC24KkQ1Jk6uZl0jF/C82j12AJKATA7jQyN/1m0so780D3egxtHiMqVQuCIFxmVQcOUjTtEyp+XgWAxs+P0EcfwX/QIKSsnbD2FTixVm1s9IUOE/E0H8OmYz/y4i8O0s9EVs82Gfy1NKnKolbxUlra65P8mxGgYq2bb+qYqDTlE7LrVxSjF/ym/o9G8hAdfoKo+J3odOoUlcWSRHT0SIKCe7EuazMz9n7N0bJ91ee4rfEoZR24KbE7Y5oG0DBvMWz5+PyIlTlUnf6KvRXr/iqsO/JQHGrwpPHRY2kdiblFOFrfa3P054+IQOgyuRKBUJXTzeRHvserIge3X2Pa355Mq9QwQF12WTh9OqXfzkFxqd/gaf1v4JnOrSn0agCA1uOmecYROlnXkxy/CZ1ZTajOKQtnxuGRGL2TeOrGBnSud/V28xUEQfi3kO128l5/ndI5c9UDkoRv35sIe+IJdFobrJh0djsM1BVVzcYid3yUnTnreOznKk6dCa0OgDQBOlLcJTTO/oEuShviLMnoNWpwUaL18FUdb/I4Scyx/eh1NXNAJWSio48QHbsXnc6NRmMkNPRGoqNG4tJH8/Wh2cw98j1Wjzq7oCga3OWpBHm6MbZ5BwbX0+O3/QPY/TW41e0t8IlEaT8Rh39/ytfm4Dx1fvpLF2bCp2M0ptQQJN0/75drEQj9j65kHSFFUZj22ENYM48jaQLRmjrh3aklt91SH2+T+o3vysmh8ONPqutQaIOC2Hj3cF4Ni6JCXwuAAGsZ7Y/tpZV5PfFxe0CnoCiwN7sRM9OHkBqXwFM3NqBBxOWd0hMEQbhe2NPSyH70URzpanKxb9++BI+/C2N8HGz+CH55E1w2dT+txsNROjxKtvM4j648xOajiXB2JwyNv456WgfJWd/T3d6Q+r4tqmsAndG7WZFoJteVRmBGGnpdzZxPrdZFZOQRIiLTMBqrMJvrEBk5lIjwAZS6XEzdM42FxxbiUdQpLNnlCxUt6RzZnxHNG9I6Qodm61TY9NH5pO2wFJQWd+Iw9aZiQx6OE2VnOyrh1SAQS8twjHUDrqnk5/+WCIQukytSR0j2sO/n5fz63SyclerSQ40uDk9AZxJvbk7/LnFozk5tVe3dS/bTT+M8dhwAQ4MGfDbmZr60JCBrLAAk5GfRIXM7LaLWEhCm1oFQ3BqWHuvBj2d6MaBpHBN71CPcz+vCzgiCIAgXUNxuij7/goIPPwSXC21IMJGvv46lXTs4swMWPwD5B9XGsW2hzztUmnV8uG4un+9OxWVVc3kki5YkbSWJhd/RrTKZhr6tMWrVzUUPeLmY3tAHc+lh4k8eQaOvOe2kkTxExRwkJuYger2W8PABREUOxccnhXJnOR/v/oy5R7/BrTgAddsLL2t3xjbpw6jWCfjpXLBtOmx8H6pK1ItGNUfp9jxVlQ0oX336fPFDrYSlVQQ+naPR+hqv+PP9O4hA6DK5ksnSdmslm+fPZdeyxSB7AAmtIQlbdAc6j2pJ2wbq1JbsdFL85Uy1SFelWgzL0bUzz/fvzlZ9PEgaNLKH1MxjdCzZRJOEteh91KjfUenN9EO3ccTaiDvax3N3p0R8vMSSe0EQhItxZmaS/djjVO3ZA4Cla1ciXn4JnUmrrgTb/imggHcg3PAyruQb2XjgE574JYq8PHWpu6KXqGVRqFvyDV2Lo2nq2wGzzg+AM1oX76X4UOo+TerxA5iq/xtW4Ow6stCwE8TF7cHHx0h09Ciio0ZgMARR5ijjo52fMS99Dm7UtAiPLRZ/R18mtO7NoGbReGlkdfpr3RtQmateOrgudHkah6kzZcszqleASQYt5hZhWDpEo/P/dwRA54hA6DK5koHQOaW5Oaye9QWntm86e0SDxpiCrVF3hoxqQZ1QdeTHXVxM4dSPKZkzB9xu0Gg4fetwnm3dgtNaNcfI5Kii7fH9tNeuo078dtCrdSTysyN5M208GkMYD/eoy7AWIqFaEAThtxRFoXzxYnJffAnZakVjsRD21FP4DbgZKW0pLJl4PrBIvRWlx0ucLt3Ei6v2sCa9KYpHQpHAN0hP4/JVtM4rpoOpJ4HGcACKcfFRPRMHfctpnL6XELv13J3hbClFf/9sEhJ3EhRoIib2dqIih6LVmrC6rEze8TnfHf36fABkDydKuZmH2w6gZ8MItBKQvhJWPA1FZ/cI849F6TQJh/cNlP+ShfPk2QBIr8HSMRqf9lHXRPHDK0EEQpfJlQqEqiqzqLKdITC0VfWxnPQ0Vn71BYVHD5w9ogNTU5QuvRk3pDF+Z0dynKdOkf/ue1SsXKk2MxrZMuFeXq3dgApJrT8UUVpIp5M7aB22mpCIEwBoXbA5rS3TsodQL8yPZ29Kon2d4Mv2mQRBEP6pPKWl5LzwAhXLlgPg3awZkW+8gSHAC5Y9DgfmqQ0DE6Hv+1SGRDF19Sw+3d0Ip/3slJavjhRtHk0zf6CL3IlEn8ZIkoRNcfNFlJ61cR5S0ncRVanm40h4UFCn0IzGShISdxAXZ6FW3F2EhvZGo9FjdVn5cMeXfHd0Fi7UGQGPPZx47QCe6jyYtonBah5P3iF12f7xNWpfTEEoHZ/A4T+A8jXZOE+frQCtlTA3C8O3e+y/ZgrsYkQgdJlcqUDo6LcfoU+Lwtn6GHGdR+HlFVb93ukD+1j6+adYs9QABsmEK6A94UP6cFvnBLRnk9eq9uwh7+23qytUuyPC+ebBB5npG4Us6ZEUmaTsU3Qt/JXmiavRmdXfPnQlemYcHMEGW1O61Q/lqT4NSAyxXLbPJgiC8E9i3bqN7Mcew52fD1otwRPuJfiuu5DSl8GSh8FaoC5fb/cgnvYPsP3o50xaZeZkfiwAilFDSJCWptlf06+kLkl+bTBo1CBjubeLj5qYqXPmAA3yM9EAWsmJR1GDJ63WSWzsfurVN5CYeC/BQV2RJAmXx8VHO77iqyOf4UYNYmRHMLUNg3im8zBa1Dr7S2xlPqx9FXbNVLfv0Oih9T04Yu+m7JfCGiNA5lYR+HSIQuv37w6AzhGB0GVyJQIhj8tF1tur0JSpwYc15ABeN5iISR6O5uwySkVRSN+6mWWffYq7PB8ASRNEeWwX2t15Iz3qhFa3q1i1ivy33sZ1Wt3jpqRtO94eMZJNGn8AvJ122h3fSxfvFdSK2Qsa0MgKtlMhvHz8HgqkUEa3rcUD3eqILTsEQbhuKLJM0bRpFHz4Ecgyhvh4It98A+/a0bD0Mdj/vdowpD7cPJV8YzkfrVjMN4c743brUCQwRnnTqGIjN2eW0dy7U3UtoGM4ebueN3bNGZqdOYa3y4lea0NWDHhkdSoqLDydJk2M1Kt7F/7+rZAkCUVR+Hr/Yj7cPRk76s9+2RFMPa8BPN9lBKkxag4SLjts/hA2vA/OsxupJvXHUW8S5dtcOI6fXQVWnQQd84+qAXQ5iEDoMrlSI0LH89OpXHWQwP3+SIoWWeOkvN4Gwnt3ITi0Y3U7j9vF1h8Xs3neHHCr88Looihu3Jvht3enYZAaTMlOJyVff03h1I+RrerIz+ERo3mxfWdyUVeLRZYW0PX0ZjrGLcPsq/4D87LJ7D3SnPcLR+BjNvNEr/rc0iwajeafu2RSEAThUjylpWQ9/jjW9b8C4DdwIOHPPI0mZwssmqAWGpQ00O4hnO3Gs3rXFF5Yn0Bu2dlFLL564vxd3HhyCTc42xHmHQdAsezkwyAtO+Oq6HD6IAG2Sgy6SnRaBZtDTV0wm4tp1sxJs+b34OebWt2n9RnbeebXVyjxqKuEZbeFuoZbeLnbWJIjA893PmMzLL7/fB5QZFNcLV+mdIcvjmOl6jGthLl5GD5dY9FdJyNAvycCocvkSgVCd/98NxuzN9LTpwv3ZPbEmKNe22HKwdHqIPEd78TbO6a6vb2ykp9nzeboumWgqIUpPN71cfYewIQBLQkwqCM57oIC8t97n7KFC0FRcHp788Mjk5gelYAbLZKi0DDrOL2sy0iN34ikV4s2+uZqmHFkGCudrWkc48+L/ZNpFO1/2T6vIAjCtcJ+5Ahn7n8AV2YmktFI+HPP4d+vN6z6D2z9RG0UmAgDp5Orz+P9FSuZe6Q7iqxB0UroYs00L/uFuzJ9qWNqgkbS4FI8fKt18lWSF40rjlEv7zR6TRV+PiUUl4ehKFo0GjcNkirp1m00gQFNqvtzsiSbiate4ZhtPQCKbCBK6s3r3e+jSXT4bzpeDqtfOLtqDbCEIXd+hfK8plRuzAFZUQOgFuH4dIpGF3B9l0wRgdBlckWmxmQPU/ZM4atDX+HwOECBR4xj6ZrWCI1djdwrwnZi7GYgLvl2tNrz38zlhQUsmjKDgkPnVphpqQxuQezttzKqaXx1/pA9LY38t97GumEDAIX1GvDxvQ+xxqB+BrPdRqcTu+gauISI0HSQwOCQcaeH8lLOnZwkkmEtYnj0hnoEWa7P3yYEQfj3KV2wkNwXXkBxONBHRxP94WS8Atww7w4oTFMbtbgTV+eJbDz4Pi/9UovjRbUAkIOM1PKtZPjRLXSVOlTvCbbFU8EbEV54B5fR9vQhTB4bIf7ZlNv9qapSl8yHhtq46ab+xMa2q+5LSVU5T6yazObCBaBxoSgSFmcbnm03kT7J9Wp2PG0Z/PRI9Z5gSuPbsAY8RPkvBcg29ZdjrwaB+N+UgC7I+wo+wX8OEQj9j65kZelzcq25TN41mR9PqKXZ/RQfXnbeTeKJOCQ0yFo7ZfXWEXZDJ0LCetSo8Jmdns6CD6bgKFCrnaIxk1e/J33uHkinMH9AzR+qXLuWvFderd7hfm+/gbze+2ZyUUeQEvPP0CtvLc3qrMJoVOeZw/IcbEprx3v2IRi8fXi8Vz2GtYhFK6bLBEH4h5KdTvJeeonS79XVX+YOHYh68w20J36AZU+oW05YwlD6TSHfz8nXv3zPtP0343LpUTSgjfehY/Ea7sqKJtakBilFnipe1XvYUddIt5KDRJXnEx5wElmnIS8/AQCDwUXXrs1p1erm6p/hHtnD67/OYu6JT1A06s9dnTOBuxpOZHyrjjVTE0pOwbIn4egy9XVALRwtPqB0mw+uXLUYoi7UG78+CXjX+830mSACocvl76gjdKjoEO/tfI8tOVsASHbX5rniMfgWqd/UDksmttZ7SGgzHrM5sfo8RVHYtfIXfpn1GYpTrRrqMURR2H0A9w3pQqy3OpIj2+0Uf/EFhdNnoFRVYTcYmfvI03wVWxsZCaPLSdsT++huXkRc5GEkCYwOD+HpWl7LHc1quRmp0X68MiCFhlF+V+QZCIIgXCmeigrO3P8Ati1bQJIIvv8+gseORFr6COz/Tm1U5wacfV5l5/H3eGdjJDuy1akr2UdPcKSH+47sorPcEoPWC1mRWSBXMjXQQHRoGW2yDhHhc5KA4HxOZSbjcqqVo+vVD6R/vzswmczVfVl2dAf/2fgyNo2aB4QrlJvj7uSZzkMw6n+zs7yiqFNgK59V80M1OuTmD1FaMQjb7iIANCYdvj3iMLeMQNKKX1R/TwRCl8mVCoSceVZcWZWYmoRW/5awMWsj7+58l6MlR5EUiWH2ntya3ROdUw1oyqLWY+isJ77BPeh0PtXXcjkc/DTta45vWlKdP1Tpn4zfmNu4p1USRo1aONGVl0f+m29R/tNPABxrmMo74x/miE69flRJPn2yVtOi9nJMZ0eHInPs5B9P5PmqUWRKkdzRPp6HutfBZPh3FuASBOHfxZWXR+Zd43GkpaExmYj64H0sdYPg+9FQeFTdI6zbs5QktWHBhnf5YNdAyu0+KIASZ6alZy9PHgsi3EtNhj7tqeR5rUJGtI4etoPEK8eJjztIQWkEubl1AfDz09O//xASEupU9yOrrJgJy17jmH0FkqSgyAaa+Q7j/d4TCDCZana6NFNdtn/sZwCUuA7YEl6h7Ncq5EoXSGBuEY5vz1pozWKl78WIQOgyuRKBkKIoHHpnO36FDjwxFiKH1EMfov5D8MgelpxYwuRdk8mvysfHbeapijE0zk0GwK0vpyRpGeGdexAe3q/GdFlxdh7z3p1KRaZaV0hBR079Ttx0zyi6hAdVt7Nu3UbuSy/iPHYct0bLojHj+bRFexxI6Dxu2p7cRy/v74mLPAqoo0O1j9mZk9ebqe7+hPj78vKAhnQRu9sLgnANs6elkXnXeNx5eWhDgomdNg0v1z748SF1lMUnEnnQdI57dvP+6uP8dKIHICF7a/FKMDDx+H562Rqi0xhwK25mypXMNOupHVRMh7J91I4+gM5SxrH0Vjgc6gre1q2b061bT/R6NUDxeGRe+uVb5p+aAlq1HlCw1JJ3uz1Lk6haNTvsdsCmD+HXd9SNXLVG7I3foexkMq7ss3XgQk0EDKqDMU5spn0pIhC6TK5EIORyevjolbX0cxgwIuGRwNQhiqDucWgM6tCozWXj8wOfM/PgTOweO8m2RJ4pGot/pTpdZvNPw9ZqN7VbPIDFUjOp7tCGPaz49BPkKnUDVrfen8Jeg5k4uDcRxrN1ipxOimbOpHDKVBS7nTOR0bz38NPssvgD6lL7PtmraJGwDLNR/QcYkWvH64QvT1rvYJvSgL6pkTzfN4lgkUwtCMI1pnLDRrIefBDZasWQmEjMlMkYDnwIOz5XGyR2xdr7aTYefofXNnXgZIk64uOJ9CbRt4A3DihE6aIASHeX8qxWQ36whl6e/TTy20lU7BFOnm5Efp6aruDra+HmmweSkJBQ3Yd1x9N44pfnsGkPAaB1hzKh0eOMa9Hzwg7n7IUF46HgsNqPqG6U6Z/EdkTdUFUyavHpHINPhygkndge6a8QgdBlcqWmxsoWPwU7l3PA8RRxqFWlHSYdEQNq490wuHqk57cJ1VpFw9DSntxa0AutR48iuSmOX453Bz8S6jyATne+OrTb7eGnaQs4tmEeyGogUxzSgMi77uSuhnXRn03Gc57JIu/ll6lctw5Zklg8YCjTevTDjoRW9tAi4xC99N9QO/IokgRedg9JRypYWtKJ113D0Zr8eLZPEgObRtUYnRIEQbhaShcsJOe558DtxtSyJdH/eRjtyvsgdz8goXR8nDO1I1ixay7v7b4dq8OMopWQ6voysiiNO3NrodMYcMouPpPLma3XEx1iY5C0groJe7B79BxNa1c9CtSqVSu6du2K0Xg2jaHKwYQfp7CncjaS1oki62gdOJj3e03EYvzdknaPW90dft3rILtQTKHY6r5L2f5gZKsbJLC0icSnW6yYBvsviUDoMrkigZDHTdqbD5OWU4sOPp+Sr21DlXMEwaijNa4YC9GD66EPPT9vvL9gP69ve519hfsIcQXwaOFIGpU2AMBpyqU49Ufi2t5GSEiPGrcqOF3E/Hc+wZq7BVBQNEZOtOzNHWOG0ixAzTM6V5067+VXcOflkRMUwuSHnmJLsFq/IqK0kJvOLKdZnWX4GOygKMRn2PDJNPG443bWyk3oWDeEVwc0JDrgd3PdgiAIfxNFUSiaNp2C998HwLdvXyJHtET66QFwWcEUhLPfuxyoWsT8fQrfHLkFRdEgm3VYEjW8e7CQhp5oAI65inlapyXbrKWL+TA3Rv6IX8gZMjJSOZOZDEgEBAQwYMAAYmNjq/swe+cO3tz5ErJR3SLJV6rLe11foWV0/Qs7XHQcFt4NZ7YB4Iq7jRLbGJyZavFcfbiJgEF1McT4XHiucEkiELpMrkQgJHtkvn5mM5UlDjS4aGL+gSbmxexwP0SE3BLD2ekyY6twQnvFo/FSE5NlReanEz8xefdkcq25tC1P5eGCW7E41X8kZZEbkNvmUidlEl7G80W4FEVh25JtbJw7HcWVB0ClTzTukWN5on1zLDp1Os5TWUnBe+9T8s03KIrCyh59mDzgVmySBoPbRYcTu+nmP4u4EHUpvl+Zi+QjFaysast/nCNxGAKY1Ls+I1rFicrUgiD8rRRFoeD9DyiaNg2AoDvvJKSpE2n962qDWh0o7zmRnekvMW1PJ7ZktwDAE+ZF/aAy3jvghb/GB7fi5mtXIZ8bTJgCPIzz/Z7kxO04XEaOHOlIZYWab9m0aVN69uxZPQpUYnVwx8L3OOqai6Rxg2xgaO27ear9HWgkze87C7tnqZu5umwohgAqYj+i/LA/eBQkgwbfbnFY2kciacU02P+XCIQukys1NZZ1Mp/1Cw9QrOYjY9Hk0973C4K9Ctlnf4J4IgBwGDWE9kvE0jSseurJ7rYz6/AsZuybAQ6Z2wv6cWNJJyQk3PpyihosJLRDR6KjRyBJ55djWsuqmP/2TAqOrgBcKGg4mdyRAXeNoXv4+V3obbt3k/PssziPHScrOJQ3HnqK/UHq9F2twmxuLl5IasI6DFoZnVumXnol3kXePGO/jR/lNrRJCObNWxoREyhGhwRBuPIURSH/7bcp/kzN/wl9bCJBvhvh4EK1QZv7yG7YiE373uOD3WPJLI9GATx1fBnuLOaBjEAkoNBTziTcHNLpaBCcx73xn2D2L6KwIJb09Pa43Vq8vb3p168fDRo0qL7/D/sP8dymZ5G91B/o4YYUpvV6nYSAWC5QVQpLHqrumyt8AMW2e3DlO4GzRRFvrn3dbotxOYlA6DK5UoHQ999/z8GDB6lbKxn70RCqimUAog176OD7GcXappQ7RhOK+o/BEW4iZkg9DJHn84AKqwp5f+f7/HD8B+rb4nksbySRdjWAsgYdoLLFZuo0fQxf35Qa9z70axorP/sYT5VajNHuFUjxwBE82bsrIWe36pCdToqmTadw2jQ8sszcvoP5omd/3JKEt9NOzxMb6RI1m2CLurFfZI6duscrWe1pySTHWBzGIJ69qQFDmseI3CFBEK4YRZbJe/llSr75FoCwxx4g0DMXsneDRo/c5y2OWk6w7sBmPto7jkqnBUUvQbIfr2RU0rlE/YXtV2cOL+pN2I0St0T/TM/EH1EUDRmnWnPmjJoQHRsby6BBg/DzU+upldtd3LfoC3bZPkXSVoGiZ1S9+3i09dg//rl3ZifMGwOlp1EkAxVxkylPjwGPgsakw79fIt6pIeJn5mUiAqHL5IpsseHx8P2333DkmFpQy2w2kxjSmLwdWmQ3SHhIMS2juXkeu5R7CXO3wQsNMqBrEUZ4n4Tq6TKAvQV7eWXLK6QXHWVQUTdGFvVBJ+uRNQ4K6szHt10MCYkPo9WeL7tutzpZPHkBmXsXgqImU5+Ja0yLceMYXjv2/OjT4cNkP/U0jsOHORYdx6v3Pc5JP3XlWsqZYwzwzKJuzH4kCcxWDw0Pl+OpsvCkYwzL5FZ0rR/K64NSCPW5vve8EQTh8lPcbnKefpqyHxaDJBE+cRwBFTPUbSi8A3HeMpV9pV+w+KCRWYcHIytaZIsO7yQz0/a7qV2lpcpj4313ET8Z/bCYHTyZ/B4R/tk4HN4cPzaAoiJ1VL1du3Z07doVrVZ9veZoBo+s/g9u0w4A/LUJzOj1LvWDE/+gowps+Rh+fhZkNx6fRhQbXseRpf4C7NUgkICBddD6XF+7w19pIhC6TK5MjpCH2ZMeJrugAHdsbVxnp6/CQyMIdNej4NDZfxxSGW18ZhFlOslO+xPUJRIAu1FD2M21sTQOrVGyfeGxhUzeNRlTuZ6JubeSZFOLe9n80yhtuozazR8hMLBtjb6k7zjNsk8+xVWxCwC3zpvTPW/h8Vv6E2dSgxfF5aLos88pnDIFOzB98GgWdOgGQFBlGf3PLKNNwiJMeheSDHWPVxKVY2eF3JKnnWORTcG8NrARvRqGIwiCcDkoTidZjz5GxcqVoNUS+dAI/Ao+AmclBNej4uZX2H3qRWbua83q050B8IR5ExHvxbTdMiEOhQxnNk9oNJzRmagbcopHUt9Hp5Gx2Rpy+FArbDYnRqORAQMGUL++muzsdMs8tfRHluW9g8ZQAorETbG38WLnh9Br/mBVl70cFt8Hh34AoCrqfkqyb0Su8iAZNPj3q42pWagYBboCRCB0mVypgoqbn3yU7ccP49JpcQdH4AqNwiOrX4qk2o1wHgulLFedMw7Vp9PJdxol+kZU2kcSdm66LMpM7LD61cUYAcqd5Xy852PmHJ5Dz5I2jMsfgFH2Ojs6NA9TqwBq15mEXn/+sziq3KyYsYpjm79FkdXS7TkRdWhw592MTa6L5uw/UMfx4+Q8/QxVe/awJbkxb9xxP6XeJrSyh7YZe+nnN4PIgHy1zwVOGqSVU6n4MdExjjVyU4Y2j+G5vkmYjaIqtSAI/3+y3c6ZBx/E+st6JL2eqPv64pP7MSgeiO9IXtfb2H30VabtHcLu/FQAXLV9aeqj5e19HkxuhZXOdF41hOCRtPROXMOghEWABpt1FLt3yyiKQlhYGEOGDCEoSE2QPpJTwp2L36TU+BOSpOAthfB+tzdpG9X8jzuafxjmjoSiYyiSF2XR06hMV6+ljzQTOLzmz2/h8hKB0GVyRQIhl4tTI0ZSeuggB6JDyPczI2t1SPH1qdSrozC+vr40iGpB5mYZl90DyCR7r6SFz3x2y/cS6W6BAQm3BMb2kYTfEI+kP7+6IK04jVe3vsqZrFM8nDOCxlY1sc/mn0ZRk4XUbvrQBUvtT+zOZenUmTjKNwEe3FoDGd1vZtLwocSc3bdM8Xgo+eZb8t99lyK9gTfH3MvWBo0AdYuOIWWzaBK7Ea0EXg4tjfcVYq7yMMvTjZddIwkPCuCDYU1IjfG/LM9SEITri2y1kjnhPmxbtiB5eRE9rh2Wgq8BUFKHcbxhPHvSv+OjPXdyqjwORQJXSgADnPBYmgePu4oPPWdYZAhDo5W5p9HnNA3Zh9FYj4xTA0hPV1fFNmrUiJtuugmDwYCiKExZv5OPD7+AxvsUAE0DuzGl58tYDJY/7uiB+fDD/eCy4rHUp8jwLs5sdbTf0jYSvxvjRWHEK0wEQv+jK737vOJ2UzxzJvmTPyTLW8+hqGBcOi0esx9yYgPsLnXPsDq16+Jnq0vGrnLg3HTZ14Sbc9hf9TiJqKu9bGYdMcPq410noPoesiKz6Ngi3tn+Du3yGzE+f+D50aG632NoZqRevf9gMJzfsbiqwsmyT37h1O7vUDw5AJyJrkvL8fcxrE589fCt8/Rpsic9hW3nTn7s0J2Ph4zCrtPj5XRwY+ZqesbMxKJ3g6Kl4eESwgqdnJKimGC/lzQpgUd71uOuDglimb0gCH+Zp6KCzLvGU7V7NxqTiZiRdTGVLwXA3fEhDgZlse3EcT7ccxflDl8UvYSrcSAP5ykMP+2m0FXAU1IVh3T+mL1sPNH0faIsefj6jmXLZh+KiorRaDT07NmTli1bIkkSxVYn98ybxwH3h2h0lWgUL55o8RS3Jg/4404qCqx9Fda/CYAzfAhFxbfjKXcjGbUEDq6Ld8PgPz5XuKxEIHSZXOnd552nTpHznxco2b6NQ1HB5AT4oEgaNLXqUuHtg6IoGI1GWjXuQO42HSU5NgAi9Ifp6PMJOYYuKPYBBKJON3kaBBB9S70aFUiLqop4d+e7bDm8gYk5t5FqU7fksAYcorDJfOo2eZSQkBuq2yuKwqFfs1gz81uclRsAD069N3l9h/PMgH4En91wVfF4KP7yS/Lf/4DMgCBevPsRjkWoxciaZh1iuOU9In2LAYjMl6h3pAAZHa+5hvK5pzftaofy7tBUkUgtCMIluUtKyLxzHPaDB9H4+BA7wBdv53aQtFTd+Cx75RVsPGnk431jcct6ZLMOKTWA19PddCjwcNB5kkd1Jio03kT55fBYk8mE+Pih1U5k9epDuFwufHx8GDJkCDExMQBsP1nE3Ys/xOG3CEnyEGyoxVd9phLjG/PHnXTZ4YcJcGAeigLWWm9ReiwJPAq6EG+CRiWJqbC/kQiELpMrHQiBGniU/7SUvNdfJ9tp40B0CA69Do/RG029VCrPjg7Fx8eTGNCMg6sKcTtlJDykmn4k1Wcl21yPUVuugwYJh14iuH9tfJuF1UjA2567nZc2vUhSRqyaO6QY8eis5CXNxNI4hrp1n62xq31pno0lH60l//g8FE8BAKcSU+g9/j5ujIuqbld18CDZjz5GZeYZPh44gkVd1H10IkoLGWGdRpNINRHb6LDQamcGerfCeqUxDznuRjIH897QxnSsG3JFnq0gCP98rvx8Mu+4A0f6MbT+fsT29uClHAWDhbJ+z7G35FPWnKzLzEPDUNDgCTZiauDHh3ud1C9z85MnjTe1ESiShsbh+7k7+Qsiw3uTeboL27fvBtSfr4MGDcJisaAoCu+t3cWnh19HazkCQKvQLkzu/jom/UUCmcp8mDMCzmxDliyUBH9GVaYZUFeFBQ6tV2O1r3DliUDoMvk7AqFzPGVl5L/9NgXzF3AkMpDMID8UQIqOx+YXgkeW0el0tG3VAftxf07uURObzZpCOvh+hs7bm7yqe4lEXSZfFWMhfkQSOv/zhbmcHiefH/icJdsX8vCZEdSzxwNQFrGRssZrSUp9BX//84l/Ho/MlkXpbF/8HR77NkDB6u2LY9gdPNWjM+azS0llm428t96i9Ns5/NKkJW+MuZcqgxFvp50BWYvpEfsdBo2CS/Gm3Z5CfCqqKJCCGG+/n93U5ZEedbm3c20xVSYIQg2uvDwyRo3ClXEaXXAgsV3LMGoywRJOfr9HOHDmPRYf78Ki430AcEeaCKtlYcpuByGVNj7WZjBPiQBJonf8zwypt4b4Ws+wfr2dEyfUbTA6dOhAly5d0Gg0lNtdjJ87n33uD9SpMPTc3+RB7kgZdfGVXbkH4NthUJaJS9+AIu2buEsl0Ej49Y5XK0SLVWF/OxEIXSZ/ZyB0jnXrNnL/8x9y8nPYHxOCzWhA1hvR1m9MudsDQGRkJC2TO7N/eRHlBeq+NLWM22jv8zn7GV+dTO3UgM+N8QS3q7kp6qmyU7y48QXqHwpnWGEvNGhwehWQ02g64ak9iI9/AM1vloJmHS1h2cerKM/9AUUuRQGOtuzKg3eMI9n//ChSxbp15Dz1NBlaA8/d8wgnI6KRFJmOmdsZGvo+fkYnTkVLvdNeJGRk4EHLq67hfObpTfcG4bwzJBU/b7GxoCAI4CkvJ2PESBzp6ejDQ4jtkI1BWwCBiWTfeBcHTr3HrMODWJ/VDgB3vIWwSDMzdtjxqizmeUsZ2x2BgMKopDn0TaoiKvI/zJ+/jqKiIvR6PQMHDqyuEp2WW8GY76dQYZmDpPEQYozjkxvepW5g3Yt38shPMH8cuKxUmfpTXHEXiktB62cgcEQDjLF/z/8bwoVEIHSZXI1ACM5Wdp4xg/zpM0gLtHAyxA9FktCEx1AVEoXL7Uaj0dCxQ0eM5dHsWXEaWQadVEVryzdE+GSTbnuUONQ+WyNMJI5KRhdwPh9HVmTmp89n6S8LuO/0EMJcwSiSh8LERbganSI5+V3M5oTq9nari9Uz95K+eR4e5wEA8oOjSLrrAUY1SqoOtNwFBWQ/8SRF23fw9shxrG7ZHoDahae50/AGMT65yAp4VUbSfvc+JGCN3JRHnHfhExjO1BFNaRjl9zc9aUEQrkWyw0HmHXdi27EDbaA/tbrmYtAVQ3gjTncfwuFTk5m+fzQ785oA4GrgR3iwienbbLgrMnk4SE92hTeSJDOu4dcMa9MOvX4Ac+bMxWq14ufnx/DhwwkPV+ub/bA3k6fWvYbG/1cAmod0ZEqPty4+FaYosOE9WP0ioFDp9xCled0BMCb4EXhrfbQWUSDxahKB0GVytQKhc5ynTpH74ktk7d7JvphQKr0NyDo9mnqNqJDVwCM8PJwu7XpyYFkxuSfULS9Cdel09v2YDN1AApydMSLhODs6FPK70aECWwHvbHyL5O3hdClXNyK0Bh4ir9FMElMeIDJyaHV7RVE4vDGHNTN/xFGxEhQHLq2eghuH8MyQWwg4u0WHIssUf/UV+e++x8I2nZkyeBQerRZ/Wzl3Vk2lSeB2AErdYdy0/RhGl4M8KYg77Q+Tpq3NawNSGNQs+m97zoIgXDsUt5szDz1E5arVaMzexHUrxstUAlHNOdn5RtIypvPJ3jHsKWikLo9PDSTeZODDnVVklu3jyaAoqqw6NJKHCU3mMbb73RQUBDFv3jxcLhfh4eGMGDECHx8fPLLCq8t38c3JV9FZ1L3CRjcYx8QW9124Weo5Ljv8+CDsm4OiaCgLeo/KbLWitLllOP79ayNpxVTY1SYCocvkagdCcDaZeskSsl99jaMGOBEagEcjIQeG4oqMx+XxqKNDHTsSJCWyZdEJnFUeNLhpbF5Efd+9pFU9QTTq0vqKSBN1xzRE61tzU7/lJ5azfvlSbj/TFy/ZC7ehjJyG0zE3iKJB/VfR688vzS/KquSnKRspzFiI4j4DQEbtFIbf9zBtIkKr2znS08l6/Al22d08d/dEin390btdDChcQt/QWWgkKPKY6HBcR0TuCZySgccdd7JIbs+YtrV4uk8D9GL3ZUG4biiyTM5TT1O2aBGSXk9M1wrMAcUoMa040b4zxzK/ZOqeO9hb2BBFA67GQTTS6XhzRwXr7dt4zy8JT5UGo87Bk+3WMrzr0+zfl8nSpUtRFIXExESGDBmC0Wikwu7injmr2OV8G60xHy0GXuvwCr0Tel28g7ZiNR8ocysyFor9PsWep9YS8u1VC59O0SIf6BohAqHL5FoIhM5xl5SQ//rrZC1bxsHoYIp8TMhaHdr6qZSfHR2KjIykV4+bOLSyiOO71ZVe/tozdPGdSr6hF76OrhiQqNKCX7/ahLaKqHGPAlsBH656l+47G5HgUEdkiuKXUJG0ieSGbxEQ0Lq6rdPuZu2swxzZ8BPuqk2ATLnFn5CxE5jQrnX1DwPZ4SDvtdc4+dMyXrjzQfbWTQKgTd5Obg98E5POTblHS0RRLK2PqCNFM909eMU9ksbxYUy5tSkhPmInZkG4HuS98SbFX3wBWg3RXRz4BBegRDfnaLs2nMqayyf7xrI7P1UNgpoE0V7W8vyuEr6X9vClVzLYwddYzls35tC9+X388ssG1q9fD0CTJk246aab0Gq1nCmxcdvX88k3T0Wjq8RHF8RnvT6mQVCDi3euLAu+HgCFaXgMcRTqPsJVLCHpNQQMroupkVj9ei0RgdBlci0FQudUbthIzn/+wzF7BUciAvFoNBAcgTMiDqfbjU6no3v37oQYElg/Jw1buQuQaWRaSrLfLo5XPU4EaoJzWZyF+qMa1qg7pCgKS9N/Iu+Hw9xQpAY+Vf7pZDf6hOj6w4mvdT8aja667cH1Waz75lec5UtQ5DJkSUNu9/48PWoUgYbz1y1b8hOZzz/P9J79+a5HXwBqF2fwgOklgowlOGQoq2rAsJ2/IgH7lNqMdzyI7BvJJyOb0ST2/IiUIAj/PiVzvyP3+ecBiOzoxi8yHyWyMYfbNCEz7yem7xvNzvwm1UFQ/yoN9+0vYLp3Gouoj+RUCDEV8+mtYaQkdGfp0qXs2KFuitq5c2c6deqEJEnsPl3CHd/Nwhn0JZLGSaylNp/1+phw85/sh1h0HL66GcpO4/JuTKHnVTzlMhofA8GjkzBE+1z8XOGqEIHQZXItBkKgLlcv+PAjMuZ8w97oYMpNXsg6PdoGTSh3q2XcExIS6HVDH/avzOfIJrVKtK82ly4+Uykw9CXA2QYdEladRPCQugQ1Cq1xj3xbPt8smEHvQy0wy9649RXkNpyOvrYXycnv4eV1fjQpP6OcJVO3U5b1E7JLnWc/XbshI+57hJYR539LcqSnc+b+B/gxLIa3bhuPR6sltKKYB6S3iTen4VZgvyORe/anYa4qpUTyY5z9QfZpk0TekCD8i1m3bOH0nePA7SakmYfgOnko4Q051LYxWfkrmb5/NDvymqg5QU2CGFkpMepAFu/6ZbDaXR/JJRPtW8I34zoQGRDFokWLOHBAXdTRp08fWrRQ8x+X7s/hkaWfow37DkmSaRrSiqk9PsCsN1+8c/mH4av+UJmHw9KVItujyDYZXbA3wbc3RBcoisJei0QgdJlcq4HQOVX7D5D13LMcKs7jWFgAsiQhhcdgC4rAI8t4eXnRt29ffKRw1n59mMoSdSPXFNNPJPke5LT9IUJRfwBYkwOpM7Q+GoO2+vqKorBw+3cELvVQ265WUy1MWER5/fUkJb9FcFDn6ra2cifLp+8n88A63FW/ADLF/sHEj5/IHU1SqqfKPJWV5Dz9DBuPn+Lpex6j0mTG7KjiHsc0mvioKzbW20K58wzE5B7Cg5ZnXGP41tONcR3iebJ3A7Si3pAg/Gs4Tpzg1PBbkcvK8E2UiWyeC+ENOdSuGVn5y5ixfxTb85qqQVDjQMZWaLjlwAneDsplg6MekluhTlAFc+/pi1mv47vvvuP48eNoNBoGDBhASkoKiqIwdd0xPtgxDWPoCgB6xPbijY6votf+ScmOnL3qSFBVMTbLMIpLbwO3gj7KQvDYZLEy7BomAqHL5FoPhOD8vmXHpk9jT7g/lV4GZIMRqX5jKl1q3aHGjRvTrXMPdv6UycFfswF1dKib7xTytEMIcTcFoMykpdaYhph/V/sio/gU275eTpucZAAqg/eQkzKd2Dq3kxD/AJKkBk8ej8ymecfY8/N2nJU/glKJU2+keOBo/tO/T3UBRkVRKPl6Frs/+4In7nmMM2ER6DxuRpfPpav/AgDWVZq50ZZImyNrAPjSfQMvuW+jfd1wJg9vIuoNCcK/gLuggFNDh+HKzsY7RCa2cy5SZEMOt2tOVsFPfHFgBJtyWlYHQaMrNdy85xCvRlaxp7IWkkchJcLB7LtuQo+HWbNmkZWVhV6vZ+jQodSuXRunW2bSgj0syf4IQ4Cah3hbg1E82uKRi68MA8jeA1/1R6kqpdJ8H2XFahK1V/1AAofXR2PUXvxc4aoTgdBl8k8IhM5xnjpF5tNPszc742zdIQ1SbG0qzGpNnoCAAAYNGoRSbmLN14eoLHEi4aGJeRHxPnkU2e/BDwMeQO4QSa3eCUi/GXnxyB5W/DifeluCMCoGnKZcshp/gCUmkeTk92ps3pq2NZc1X+2kqnQxilvdzTm9ZVcevetuavucr8th27GDI489wdNDx7K7XkMkRaF/yQoGB8wAYFOlngSpDbfuXIAEbFRSuNvxICHBIXw2pgXxwX8ynC0IwjVNtlrJuG0U9kOHMPjKxHXLR5vQmMOtm5Cd/wOzDw9m7ZkO1Uvk+7m0DNu6k+cTzZwqCEKSoVWcxBd33IDkcfHVV1+Rk5ODt7c3I0aMIDo6mjKbi3GzNrPP+RF6n8NIaJjU6kmG1x/+553L2Qsz+6FUlVPm9TSVZa0AMLeJwL9vYo2fjcK1SQRCl8k/KRACdelpyexvOPTxR+wN88Nu0OMx+SAnJmN3u5EkiS5dutCiWWs2fn+MtC25AATpTtLV9zNOcw/hci0ASkK9aHBHI3R+NVdspR3aj31OBkFOPzzaKnJSpuGOySMlZQp+vqnV7QpOV/DT1N2UZv+Mx6Hu53MmKoHuDzxOn1rnc31c2dmcfOABXm7WgZWtOwHQpWgDtwe8h0aC3TYtFVIbnt7zMwaXleNSLCOrHsNuCufT0S1oFieSqAXhn0bxeDhz7wQqf/kFrRfU6paHvkFTjrRpTlbu93x/tD8rMrqhAK6UADpp9Yz+dQPPJUWQd8YHSYEudb35ZFQnPE4HX3/9NTk5OZhMJkaPHk1YWBi5ZXZGfr6OLOPH6Mwn0El63u38Dl1iu/x5505vhW+GoFRVUKx/harKhgD49YnH0j5KLI//hxCB0GXyTwuEznFmZHDqqUnsLMgiO8AHRaOFxCQqdWpQExMTw8CBAyk+5WLdrCPYrW40uGhpmUOA2QfFMQgjGqxaCBpaj+DfJVJbS8s5NOMXIor8UZAprL2Q4oRl1Kv3PFGRw6t/UNjKnayYcYDMg1twWX8GXJT6+GMe+wCPtW2B9twS+6oqsp9+hg+0Zr6+cSAArQp3MSHwNbSSzJEqDdtcybxz/BDBFXkUSUGMtj9MurY27w9tTO+UmmUABEG4tuW+/Aols2YhaSGuawHedWI52uNmTmfPZEF6X5ae6gGAK8mflt5GRq9dzasN48g744skK/Ro4M/UkW1wOx3VI0G/DYJOFloZ8cVKSn0/RuuVg7fWxJTuH9EivMWfdyxtGXw/BsXlpkj3BnZrPdBKBA6phylVLI//JxGB0GXyTw2E4Ozo0Jw57PlkCvtDfXFptSgBoTii4nF7PBgMBvr27UtiXD3WzT7Cyb2FAEToD9HB/wfOuB4i5OwWHeWNgmgwtD7Sb4obKh6ZA9+sJ+CgOk9eEbadnOQZhEffRL16L6HVqispPG6Z9XOPcmDdPlyVP6DIZbh0ek73Hclrg/rjpz+/FL9oxqd8vOcwUwaPAqBh8REe8X8Jg2TnuEPDDxWRvFNko37eURySkYmO8SxVWjOpd33GdUgQv6kJwj9AybffkvvCiwBEtSvGt56ZEzeN42Tup/xwvBeLj98IqNtmNLZ4ccfqn3kzpRY5WX5IboWOdQKZMbolssvJ119/TXZ2do0g6EhuObd++SOO4E/Q6EsJMAbySY+PSQpK+vOOHZgP88chyzqK9e9gr6wFOomg25Lwrhf45+cK1xwRCF0m/+RA6BxXdjbpk55kS1EWJWZvZL0BqV4qlR71S9+4cWN69+7NiZ3F/DrnCC6ngkGy0tH3cxyGLgS61L18Cv30NLgrFWOQd43rZ60/gmtZLjpFi91ymqwmH+AVGkFqo2l4GdW6HIqisH/dGX6dsw9n5VJkdwYAh1p15/Fxd1HvN3lDFWvW8OncRbw1ZAyyRkNc+RmetvwHs1TCaaeGL4v9eMETTOfjmwF42zWYjzw3c1vrWrzQL1nsYC8I17CqAwfJGD4cxeUiJLWc4FSJU33v5njBF6zK6Mi3abcA4KrnR70Ab+79eSXvJ8eQmROI5FJoFR/Al2Nbobj/eDpsb2Ypo2YtxB06DY3OSrQllhk3TCPa5xKlN/bPgwXjkGUjhYaPcFaEIek1BI1Owqu2mH7/JxKB0GXybwiEQB0dKvrqazZ9/RnpQT4okoQUFU+lXzCKohASEqKWnZcs/Pz5QXJPlANQx+sXkvwzsNnHYEKLVQOWW+oQ1bRm4THryWJyvtyDl0OPS19OTuPJuEJLaNxoGn5+TarbnT5YxPLp+7CVrMPj2AnAiYRkBj7wCN1+szWHPS2N796ezDODR+PUGwi1FvKC93P4SnlkOSU+LvDmXnMyI/ctQwJme7rxnGsMN6bG8M7gVAw6sS2HIFxrPOXlnBw4CNeZM1iiqoju4uBMvwc4WvgpW3KaM2O/OhLsqu1DbJiZh1euYWq9EE4WhCE5ZFKj/Zg9rjUaj5OvvvqK3NxcTCYTo0aNIjw8nO2nihk7ewFETEfSVlE/IInpN3xCgNclApkDC2D+HXhkXwp1H+CyBiEZtQSPTcZYS2wA/U8lAqHfqFWrFr6+vmg0GgICAli7du1fPvffEgid4zhxgn2PP8o2jxW7QY9s8sGdmIzD7Uav19O3b18aJjdk5/IMti85iaKoy+y7+s2iULmbICUAGYWSxsE0GtKgxsoJd6mdU59uw6tQQpZc5Db8jIrInSTVf42IiAHV7YpzrPw0ZS/FWTtx21YBHvKCI6lz76OMS65b3c6Vn8/Pz7/EgzcNpcJkIaiqhP8YXyRQOk22U2JqgRd9fBvx5O6l6FD4WW7Ofc77aFMviqkjmmIy6P7ORysIwp9QZJmsBx+k4udV6M1u4nuXkj/kMQ4WTiOtuA7v7JiAjAZ3rJnAOB+eXLWBL+K9OVoSi1TloV6YD3Puao1RctcIgs6NBG08Vsidc+ajjZyBpHXQMKgR02/4BB/DJSo+py2DuSNxumMp4jU8TjMas47g21MwRFn+nocjXBEiEPqNWrVqceDAASyW//6b+t8WCAEoLhdZH33EupWLyfM1I2t1ULsh1rPbZrRo0YKePXtSeNrKyk/3U1GsLrNvZZmLt3cKvi615lBOoJ7G9zZF/5uCYrLTQ9asPUhHbQAUJi6kKOEHYuPuonbio9X1hmzlTpZ+vI+c9MM4KxeDUkWF2Rd57IM8377l+SRqm42NL7zMuHY9KfXxw9dewfOGlwmXjpHvkphSYCTFUp+3D2zA7LazQ6nH7Y5HqB0bzedjWuBvEsXOBOFaUPDhRxROmQIahVrdCrGOfoTd5Z+Tbw3mpc2PY5cNeMK9MdfzY9KazXwfprDPXhdNpZvYQBPz7m6Dj16pTow2m82MHj2a0NBQ1qXlM/77eegjP0PSOmkS0pSPe0z982rRAMfXwjdDsDuTKfI8jyLr0IV4EzQqCX2I6c/PFa55IhD6DREI/THbnj1seHYSB700eDQSSlgs1kB1eioyMpIhQ4bgbbTwy+wjpO/IByDGsJum/sdwOodhQEORDiLGNiQ08fzQsyIrFC89RtUGdWl+WcQm8pI/xz+kA42SP0CnU384uZ0eVn15iPTt6bgqF6HIxTgMRjIHj+PtG3tg1p0tvujxsOv9yYxOSKXQPxCT08Yz2jeI0xygyK1hSr6BMO84Pjp2kNCqUo4Sywj7k/iHRvP1Ha0I9xPl7wXhaipfsZKsBx8EIKJlCdx5O1vc87E7jby0cRJFLl9kfwO61CCeXL+Vpf52dikN0ZQ6CfM1Mu/utoSatcycObM6MXrMmDGEhoay9kg+d38/H330p0gaJy3CWvJRtw8x6S8RyJzeCl/fjNMRQYH7bRRZj7FuAEHD66PxFqPJ/wZ/9f/vq55IsX79evr27UtkZCSSJLFo0aIL2kyZMoVatWrh5eVFq1at2LZt2391D0mS6NSpEy1atGD27NmXqef/fKbGjek+Zx494uphdrjQ5J3GlHEUvUZDdnY206ZNIzPrFD3uSKbLbfXR6SDT2YRVhV0xaD6kAitBbiifsZ/Da05VX1fSSATdVAf/AbVRJAW/nLZE7XiUstytbN4+ELtd3fdMZ9DS886GNOvVCIPPMCRdFEang/hvP+aeb74j1+FSr6fV0uyRh5lfmUN0fg42g4kXlKc46mlKkE7m/jAX2VUZ3FYrgQy/cOpymgVeL2LLP8mQaZvJLLZdjccrCALgOH6c7McfAyCwbiWGYYPY5P4BZJi8/X41CPLWIjUK4JFNu1nub2OnvhGaUie+Xjr1lxkfPXPmzCE7Oxtvb+8aI0F3f/cD+qjPkDROWke0YWr3KZcOgnL2wezBuB0WCuVX1SCotj/Bo5JEEHQduuqBkNVqJTU1lSlTpvzh+3PnzmXixIk8//zz7Nq1i9TUVHr27El+fn51m8aNG9OwYcML/mRnq1tJbNiwgZ07d7J48WJeffVV9u3b97d8tn8CjdlMw7ffZfAd9xFudaC1lWM4ugdvj5uqqipmz57Nxo0badA2glueaklAmBGrHMTi4vE4PfOo1JzCCwmflZls/Xwviuf8AKOlVQQht6cgG8BcWp/obU8jlxSzcetNVFQcBNSgqe2g2nS6tREGn0Fo9HXRyh5Sf5rNI9NncKjifBBT77YRLPTXUTsrA4fOyGs8xlFPMwK0Hh4Mkyl3FjAqPITDQbHEkMtC7xfRlhxn8CebOV5Q+bc/W0G43slVVWTddzeKw4kp1EHAiA6sNW3BoNj5bPftnLBGougkPI0DeWTnUX71ymebuSnafDsGnYZPR7egdoiZBQsWcPLkSQwGA7fddhthYWFsPVHE3XN/Qhf1KZLWQbPQ5kzu+gFeukuMABccha8H4LbrKFDeRnab0YebCRrZAEkssrguXVNTY5IksXDhQm6++ebqY61ataJFixZ89NFHAMiyTExMDPfffz9PPvnkf32Pxx57jOTkZMaMGfOH7zscDhwOR/Xr8vJyYmJi/pVTY7/nzM7ml0ceZL/HhqzRoETEY/VTa2ckJSXRv39/JEXLutlHSN+uBqKJxk008FXQujoDcMZPR+MJTfHyPV+N2pVrJe+zfVDhxmEoIafZO1T55NE4ZQohId2q2x3flc/Kzw7iqFiLx7ELgH2p7bj77gm0CTz/7PN37GTw4UzSomthcDt5kjeop91Dkcebt3NAqzUztdxNk7xjFEkBDLVPotScyDfjWlE37BKJk4IgXDbZj9xP2U+r0Hp5qDU+nlXJdozuMyw4PICfMruoW2c0DeLhk7kcrtzNyuiu6E5UIkkw5dam3JgSwdKlS9m2bRtarZaRI0cSHx/P/jNlDP/iJ5SIj9DoK2gY1JBPe3566ZygklPweW/c5Q4KPO/icQehDfQidHwjtL+roC/88/1jpsb+jNPpZOfOnXTv3r36mEajoXv37mzevPkvXcNqtVJRUQFAZWUla9asITk5+aLtX3vtNfz8/Kr/xMTE/G8f4h/EEBlJ91lzuKFxG7ycLjTZJzBln0IjSRw6dIjPPvuMSls5PW5PpuOwumg0cNzRlg3FtZB0s3HiIbrMzdE3tpF7rLj6uvpwM+ETmqAN9cboDCBq21NYimqzd/94MjK/qm6X2DSUfg82xhTYDZ23utVGo70b+fzdN1iWW1TdLrR5Mxa0aECDM6dw6gy8zhMc9TQiSFvFxEgdTo+V8T4atkbUJ0gpYb7Xy4RYjzJs+hYOZZf/fQ9UEK5jZd/PouynVYBC5E1BrG3ih9F9htWnOvNTprrFhbuBP0OKyjldtJGVtbqhO6GO3L7YvyE3pkSwZcuW6lSIgQMHEh8fz74zpYz4ciVK+DQ0+goS/WrzSY9PLh0EVeTCzH54yqso9LxdHQSF3JUigqDr3DUdCBUWFuLxeAgLC6txPCwsjNzc3L90jby8PNq3b09qaiqtW7dm1KhRtGhx8RLrkyZNoqysrPpPZmbm//QZ/mkkrZaGTz3DsIeeItDpQVtWiNfJQ+hRyM/PZ/r06Zw4cYKUztEMeKwZFj8dpZ4olhT2x6XMooIKAj1Q8ekBDm04/+x0/l6E3Z2KId4XvcdE5K5H8MtuzbH0FziQ9hLnBiaj6gZw88NNsAS3Rm/qjYKG+ul7+entl5l58kz19YLq12NRlxYkZ2Xg1Bl4jUkc8yQRoqngkSgvXJ4q7jW5WR+VhJ9SzvdeLxNjO8Stn27hQFbZ3/5cBeF64jp9ktyXXwUguIWRHYPaobPtZGdeKt8cVUtpuBN9aKP14H1wET807ofuqPoL68Pd63Jb6zgOHz7M8uXLAejRowfJycnsPl3CiM/X4g6ZhsZQTJQlhhk3TMfPeIlaP44KmD0YT0kpBZ43cbtD0AYYCRmXgs5fLKa43l3TgdDlkJCQwN69e9m7dy8HDhzgwbMrFy7GaDTi6+tb48/1KLhjR26d8RW1DWa0VVYM6fvwclRht9uZNWsWW7ZsIayWL0OeaU1MfT/cGFlVdivFznXYNKfwRsK85CQbvjtUfU2NSU/IHSl4NwpGq+iIODCewJO9yTvzJdv2TUCW3QCExvky8NGm+IY1xmDpD5Ke+Mx0Drz9Im/tO1IdNPlFR7GwZ1sa5J45Gww9TYZcmzCphIkxvrhlBw962Vkdm4pFsfKt12vUqdrPiE+3imBIEK4Qxe0me/xwZIeCV4hM1pN34ipeyOnyKKbvHQtIuKNNJAYaSNnwFd91HILukBoEDWsRwwPdanP8+HHmzZsHQLNmzWjbti0Hs8sY9fmveEI+ReuVR7B3CJ/eMJ0Q0yX2//K44LvRyDnHKXS/htsdgdbPQMi4RugCRBAkXOOBUHBwMFqtlry8vBrH8/LyCA8Pv8hZwuViDA6h38xvaVc/FZ3Tge7kIbxKClEUheXLl7N48WL03hpueqApzW+MA2CPrRdHKovw6HagRaLWriLWfLgDj0sGQNJpCBxWH0uHKABC0ocSnDacysIVrN8xDI+nCoCAcDMDH21KYGQSBsstoDERXphN+eSXeWrzLjxngyHfkBB+6N2BugW52HVevCw/T7YSTSR5TIwJwS27eERXzvJaTTEpVXxtfIP69n3cOkOMDAnClVD0/F3YTpah0cloXriH0zmTsbosTN5xH240eIKMhMZZ6LXqK+Z0HQJpDmSXQrO4AF7on0xmZiZz5szB4/HQoEEDbrzxRjKLqxj1+WbcITPRmk7ja/BlRo/pl942Q1Hgp4kox36l0P08Lk8sGh89weMaoQsUQZCguqYDIYPBQLNmzVi9enX1MVmWWb16NW3atLmi954yZQpJSUl/Oo12PZA0Glq/8AoDb7sLs8uNLvcUXrnqPmG7d+9m5syZ2GxWWvVLpNf4huj0kOlsxPqSUNAtA6BuVhUb3tiCrdJ59poS/n0S8OuTAEDQ6Z6EHByLp2IPq7f0xeUqBcA32JsBjzYlOLY2BstQJK0//hWleE9/kwdX/YpDVoMrX38/fujZlriSQmx6Ey96XiZPCSOa0zwYF4dH8fCEppjFCc3xwsFM45skOfcx8rOtHM4ROUOCcLlYF35CwYJNAPiP6syvns8xIjFl592UuM3IJi1eDfwZumoeczrfiP2MFk+lmzBfIx+PaIq1vIxvv/0Wl8tFYmIigwYNoqTKzcjPN2P1/Qad5SheWi+mdp9K7YDal+7QpskoO2dR5HoMpycJyUtLyB0p6IO9L32ucN246oFQZWUle/bsYc+ePQCcPHmSPXv2cPr0aQAmTpzIjBkzmDlzJocPH+aee+7BarUyduzYK9qvCRMmcOjQIbZv335F7/NPEdfvZka+M5UwdOhLCvDOSEOrKGRmZjJjxgzy8vJIbBLKLU+2xCdAR7kngqVFbXFJ3+HCQ2Klh31vbKUwu6L6mj4doggYXBckCMzuRMj+u9BWnebnTTdU1xoy+xkZMLEpYfGxajCkD8VcZSVy5gfcv3Q1do8aDAX4+bKkR2siK0qp0Pvwovs1iggiXj7CffENkRWZZ5QC5ie0UIMhw1vUrdrHyE+3kp5X8YefWRCEv86dto3sF98DRcKnaTiLmqYRrrHy1cHhpFfEomjVZfK3blrF/OYtKS73RcmzY9Bq+HhkM/yMEnPmzKGqqoqIiAiGDh2KS5a4Y+YO8rQL0PvtRiNpebfzu6SGpF66Q4d/hJ+fp8w9GrvcBrQSwaOS0IdfIqlauO5c9eXz69ato0uXLhccHz16NF9++SUAH330EW+99Ra5ubk0btyYyZMn06pVq7+lf//mytL/H26bjaUT7yO9JB/ZYMQVUxenwYjBYGDIkCHUrl2bqgonyz/ZS/bxCiQ8dPRZipe2N154Uywp+IysT3zy+Q1WbfsKKJ6TBrJCSfBuClKnYtMZ6dzyByzmWgA4qtws+XAPOccLcNkWIzszceoMHBs6ng/79MCkVWP6nAorPX/ZRb7ZhyBXES/qHsefctKMXfn4mPqb6nNSKINP7MCGNyMdT5BpSWHuXa1JCBH7CgnC/4dSVUpm/3ZYT8sYgnWsejGZ2mxn6cnuzE/vh4K6TL5/xiGO+kgcDqiPYbe6svTNWxpxS9MovvvuO44cOYLFYmHcuHFYfHy5e9ZO1mX/gFfEIgBebvcy/Wv3v3SHcg/AZz2osqdS5HoagMDh9TGlXiKfSPhXEVtsXCYiELqQoihseft1Nm/fgKzT4YxMxGnxRZIk+vbtS9OmTfG4ZdZ/e4RDG9XVfY28fyXSqxFGJRgbCo6+8aS0O1+aoOpIMUWzDoNbpjTgEPlNPsCqhbbN5xHklwSA0+7mpyn7yDp6LhjKwKnTc+SWcUzp2xPL2S05Mq02ev2ymyJvM5HOLF7QP4FFo3DQqxfT0lYC8CzBDDm5CysmhjmeosAnie/GtyE2SOwvJAj/FVmm7JneZC84jaSFPa93IsD0MwcLk5i8+24AXPX9aKaUYMw7yIbkbpi3FeJ2yYxuE8cL/RuyatUqNmzYgFarZcyYMcTExPDSkkN8uetnvGM/R5Jk7m9yP3c1uuvS/bEWwYzOuIrd5Ls/RJGNWNpH4X9TwhV+EMK15l9RR+hqEjlCFydJEm0em0T/2ydgdLkxnEnHWFKAoigsXryYtWvXotFKdB7ZgPaD6yBJCvuqOpBmPYVLcwITEj4/nmTrj0err+ldP5DgsclIBi3+JUmE7XwEi0di046BZBfvBMDgpeOm+1KJrh+K3tQfjaEWBreLBvNmMH7RMkpc6qqzGLOJxR2bYHHayTZE8ZbrWeyyh0auXxhX/2YAXqKQ+XGNMWNjtvF1/CuOMuKzLeSV2//25ykI/2SeFS+Tt/QkALlDUjF4raLS6ctn+8YA4I4xE+UrE56+nl8bd8d/bwlul0ybhCCeuSmJvXv3smHDBgD69etHTEwMc7ef5vOt2/GOno0kydyUcBPjUsb9hc644PvReEqsFHleRpGNGGr54te71hX69MK/gQiELkLkCF1aYq8bGfH6+/hKWvS5GRjz1S1NfvnlFxYvXowsy6R2i+HGe1LR6eGkM5Vt5R5k7W50SPwfe/cdX1WVLXD8d865PbnpvRcICYRAIITeO1IEC9iwYS+jjl3H7jiODhbsoiKKYqGIIii91xRCT0IS0nu/ya3nvD8Ow4xvrAiieL6fz/08hlxz9t4vCSt777VW5LYaNizYdzId3pToR9CcVASThG9LEqF778HbrScr+xKO1WwCQG+UOO+WNKKSg9FbpiIZE9C7XfRcOp8bl62kwakGQ4neFj7L7I7B7SLf0I2XXfdgd7WQIW/j6pSLAXhcbOKL6FR8aOdj4zMYmgq5fP4ummzOs7CaGs0f0JGvqXvtbTx2CVe4N4X9srCKMD/3GmweE7JVjyHBQv8dS1g1/EICD7fR2e4iyt/Mq5f1oaaqkhUrVgCcrPe2q6iBh1fswRy9EEHqJC0ojccGPYYgCD8+FkWBr+/GXXyYWuezuD0hSH5GAi9NRpC0f+o0P0z76tD8KgGJXZn91kIifAMwNFRirCoBRSEnJ4ePP/4Yh8NBXFoQ0+/OwOwlUu+OY0NTKIq4AYCuR1pZ+/IePG710rMxxofgOT0RzDp8WhMJzboHb4+BQ/vncKDiawD0hv8EQzrzZCRjInqPmz7L3+PG5V9TfyIYSvf3YUFaApLsIcfQlzfct2PrLGWYdJBLu12MgsIj+nZWR6bgTwsfGf+BrbaEqxfsodPpOSvrqdH8YdQXYHv1ZpoK1MvHm65tJ94k8/WxCRxuSUARBdw9/Ri75XNWD52OtdqDraYDk17k7dkZmAQ3n332GR6Ph27dujFq1CgKatq47oM96EIXIxlrCbGE8OLIFzFKP6Py86438exdSr3z73iUMLVq9A1pSD5a1WjNj9MCIc2vZrL6MPO1d0nqkoyhuR5zeSGC7KGwsJD3338fm81GSKwPFz7QH79gA+1yMKub0pGFr5BRSKlysPZfu3CeCD4MUVaCr+uJaNHh0xpPaNa9eHuMlBy+nT0lnwL/CYYik4LUYMjUBZ3HTd/l73LDF6tOBkOjQgN5OSEUQZbZrh/K+/Icmlv2MNWnhQu6zEBWZB4w2tkUmkgoDSwy/YPSslJu+zgb94mMNI1G8/842nDNn0XFZgMgkHuBnu4RTvZUp7OsaCIA7mRfhh3ezN7UwdhlC46jzQA8PrUH3UK9Wb58OS0tLfj7+zN9+nSqWx3Mfnc3du+V6KxHMEpGXh758k8XTAQ4tgFl9aM0OB/BrUScbJ2hFUzU/BxaIKQ5LSSdjslPPUfm8LHo2lswH89HcrmorKzknXfeoampCZ8gMxfc15/weG+cihcrm0bh5CtkZHo0udnwz510dLgAMER4EzTnv4Kh7HuxyEZqCx9ga+H7wH+CobAEf3Sm89CZ1J2hfsvf5aaVa2g+cWfogvgongj1BkVhrTSBZcpFVFcv48rICCbFT8KteLjLG3YFRBFPJe8b/8n2w6U8suIgWi6BRvP/KArKF3dQsbIJj0OiursB6wgbhc3xzN8/GwB3jBcpzlLq/AKoCIwi8GALHllhclo4F2dEs337dvLz85EkiYsvvhgXEle9t5s6ZSfGoI0APD7ocXoE/XBfyJOaS1E+u5ZG5504lWQEs46gq3torTM0P5sWCP0A7bL0LycIAkNv/gvjrrgOXacNU+kRJIedxsZG3n33Xerq6jB565l6V18S0wOR0fNN8wRaPWvx4KFHu8zOf+6itUW9sPzvYEgw6/BpiSck527MioHWkifYkD9ffY9Jx5TbehEc44tkOg+dORG920X6kvncsHojbW51l+m61CRut6pZZUvEWaxlPEVFz3FnyhhGRY/CKbu4LcBCnk8QPYUi3jC8wGe7inht47Gzs5gaze9V7kc0Ll1FZ50Rp0Wk4hobDrcPr2Zfj1uR8ISYCAhTCGoo5WCXdCIOtdHc5iQmwMLfZ/SkqKjoZJHciRMnEhoaxl8/3Udhy2HMEUsAuDb1Ws5LOO+nx+Kyoyy+gpa2C+iUB6u1gq7ojj5Yy/7U/HxaIPQDtMvSp67n5Glc8MBjGF0uTKVH0XXaaGtr47333qO6uhqdXmL8dWn0GqWWx9/UNpJ61xbcOEmyK+z71x4a6zsANRgKvjYVwSjh19SF4Ny/YkJHR+kzfHvkdQCMFj1Tb+9NQLgPknESOnMMRpeDnp+9yfXrtmHzqMHQg/3SuERSd5wWMIcc0jly4E4ez7iRAeED6PTYuSk0mAKzlWHifv6pf5PnvznMkqzy75mlRvMnVJePe+k91B+0ArD9RhchJoE3c6+h1e2F7K1D6O5DRt5aNvYbS+gxG401NrwMEm/PzsDT2c7nn3+Ooiikp6fTt29fXt1QyJr8AizRH4DgYnjUcG5Lv+3njefru2kr70K7ZyoAARclYUz4iQasGs3/owVCmjMiNj2DmX+fi0UQMJXlo+top6OjgwULFlBeXo4gCgy5OIlBM9Qy+Tttg6lwZuGmk3gnHHlxL7XV7YB6Z0hNrRfxb+hGYN5fMCHiKn+e1SeCIbPVwLQ70vENtiIZpyKZIjA7Okle/Bo3bNpN54n7PnOHZjDcbUMRRObxV4qVEA7mXsfzQx4nLTiNVreNG2PiqNIbmS5t427dp9y3JI/thfVnZyE1mt8LVyd8dhX1OTpkl8jxfgpdEj18cWwi+S0JKJKAq3cAQ7LXsG7AZPyqHbQUtSAI8OKsdBKDzHz66ad0dnYSERHBpEmT2Hi0jrnrDmCOWoigayXBN4F/DP0Hkij99HiyF9Kxt4xW91UA+E5OwNI75Mf/G43me2iBkOaMCU3owqXPzcNqsmAqK0Bna8Nut/P+++9TXKzWHUkfF8Oo2SkIgkJuRwbF9gO4aSPGLVAyL5uqcrUXmDHOl8DZ3UEnEFjbk4BDt2ASBNzlz/PVodcA8PIzMu2OdKwBVnTGaUjGELw72klY9Co378jBJSsIgsD7I/uTaG/DIZh4XnmQancnhXl38MrIl0j0TaTW2cJNiT1oEQVu0a3gYmEtNy3Kpqiu/aytpUZz1q1+AEfBUZqOWZBNCvZLXBxqSGZl8XgAXD386FlxmH1JfZAdOjwHmwD469gkxnYPZePGjVRVVWE2m5k5cyYVLU5uX5yNMfxzJHM5fkY/Xhn1Ct6Gn1HhvTIX15cv0+S6FQDv4VFYh0Sesalrzm1aIKQ5o/zDI7n0+XkE+AeowVBbCy6Xiw8//JCjR48CkDIonAk3pCFKCofsvcm3F+KmhQiPQMVruZQfbwbA1MWfwEtTQITgyr74HbkOswByxb/44qAaDPkEmZl2RzoWP190pumIxgB825sJ/fBV7sw5gqwomHQ6Ph/cmwB7Bw1iEP9S7qe2Yz81hS/yxtg3CDGHcMxRz+1JfXECT+rfo69jF3Pe30vLicvcGs2fyoElKHvfozrbFxSBwms9uPDj7bwrAbVoYrDJjuJx0mANIfBAMy6PwpiUEG4e0YWSkpKTRROnTJmC3uzFjR9mYbesR++Th07U8cKIF4j2if6xUahsDcgfz6HB/lcUTBi7+uE7Pu4MTl5zrtMCoR+gXZY+fawBQVzy7EuERUVjqihE39qIx+Phk8WLOXToEAAJvYM57+be6HRQYE/lUGcpbqGJMFmg+s08SorU3y7N3QMJmNkNBAgtG4RP4RV4SSBX/oulB9VjMr9QC1Nv743Ryxe9cQaC3kpwUy36ha/w8KFiFEUh3MfK+6lxmFxOisSuvMFtlNUthqZdvDbmNbz13mQ7avlbUl9EZF41zMO7IY+bP8rS0uo1fy6NxbDiL7SWmuioMdKeJmNOgbfyrqTd7YVs1SMleNH74Fb2d+tD1NH/XI7+10W9cTjsLFu2DID09HRSUlK4f8l+Clr2Ywr5BoAHMh8gIyzjp8ficaF8eiWNDRfhVqKQfPQEzEpGEH+i2KJG8yO0QOgHaJelTy+z1YeLn3yOqMRuGCuK0bc0ICsKn332Gfv37wcgpkcgU/6Sjt4AxY5k9tuqTwZDdW/vp7hYDYYsvULwO1+9WxRePBrvkgvxkdSdoa+OLgQgKMqb825OQ2fyQ28+H0FnIqr6OI0LX+fV4zUA9IuO4LkIH0RZZpcwiCXM5PDBe4jSqx2udYKOr111vBLfCzMO3jM8R+mxQzy18vBZWEGN5izwuGHpdXhs7ZTlBSGbFepmq/eCCpoT1XtBvdR7QRv7jSWotJP6ynaMOpHXLuuDj1nHl19+ebJe0IQJE1iwvYQvDxRgjvwIBJlJ8ZO4KOminzeebx6ipTAJuzwIJAi4vDuSl/7MroHmnKcFQprfjMFs4YJHnya+Zy+MlcXoT/QnW7pkCfv27QMgoqs/0+7MwGiCUmcX9tnqcAuNhCsCdW/nUVyiBkPe/cPxnRQPQGT+ZMwV4/HXKbSVPMG3xz4/8bn8GH9dKpIuGL1pKog6upYcZufCt1larXa+vig1mVsM6nHXcuEidur7kbNxJv1CevHIwEcAeIsmlkd2I1Bo5V398yzZfoiPd5f+pmun0ZwVm56F8j0UHwlCsslUX+ahxJ7I18XjAPVeUGLdMfZ36YXcKtB+omjiMzN6khrpS05ODocOHUIURS688EL2V9l4euUhjOFLEPStxPnE8ejAR3+6fQbA/s9p215Ju2c6AAEXdcMYozXC1vx6WiCk+U3pDUam3fcoSf0GYKw+rgZDwLJly8jNzQUgNN6HaX/th8ksUO6MJ7e9CY/QRIQsUvtWHiUn7gxZh0VhHa6m4MccugRDzUBC9ApVBQ+w6bi65R6fFsTwS7sh6qPQmyegIJB+cBcffLyIrU1tADw4JJMRHWpg9Aa3UeDly/5Vl3F+l/NPNnp83OhiT0AkXcUKXtG/zONf7GNPSeNvt3AazW+tZBtseZ6Odgn7YT2dvWTae5p4e/8VKAi4Iy2Y/cDoslPrF4b3oRYArhwYy4w+UdTV1bFq1SoARo0ahdkvmFs/ygHrHvTWQ+hFPc8Pfx6L/mfU/KnLx770bVrccwDwmRCnZYhpThstENL85nR6PZPvfIAeQ0eqwVBjLQDLly8nOzsbgOBoK+ff3Q+zl0CFK4bs9iY8NBMpi1S+uY/SMjWbzGdCHJaMUFAg/uANSM3JRBlkDh+6nd1VOwDoMTSSjElxSIYkDJYRAAzZ+Q1PL1nG4fZOBEFg/qiBxLU14hBMzOU+yryOUbThCW5Nv5XxceNxK27uCPSh2OTNcCmP+4QPuOnDLCqbO3/7BdRozrTOJlh6PSgyu0oTwaJQf7nMwkMzaXL4I1sk3Mm+9Dy2j4NdexFd1EGn3U1ymJWHzuuO0+nks88+w+VyER8fz8CBg7jr01xqOiuxhH0FwK3pt9ItoNtPj8XZgfvjO2jsvB2QsPQNOfkLkEZzOmiBkOasECWJCTffSc+RYzHWlKJvVO/trFixgr179wIQGOnN+XdnYvYSqHRFk2trwEMrMbLI8TdyKa9uQxAE/Kd3xZQcAG7ocuABBFsYXY1utmZfS16teuSWOSWepMxQJGM6Bi/1UubIdUu486tvqbA78TabeS89CR+7jTohlNf4C0WuD2g6+A1PDX6KtCC1xtDt8Um0CQJX675hROcabvggC7tLa9CqOYcoCnx5B7SWc1CIJTivjeZLPexsziCrJh0EcKUF0LNoH3uTMwhuclF3vBVRgH9emIZBJ7Jq1Spqa2vx8vJixowZvL21mI1Hq7FEfooiOugT0ocru1/584az8kEaqi5Cxgd9uBH/87v+vKM0jeZn0gIhzVkjiCLjrr+N1OGjMdaUYWhQg6GvvvqK7BPBUEC4F+f/NROzRaDcFUNeRy0e2on3COS/kkNNgw1BEgi4JBl9pDd0KCQdegac3vQyO1i66woKmgoQBIGRVyQTluCLoB+KwTsFSfYwbOVCbli/nVa3h5ToKP4eZEHyeMgV+rJMfxEHDt2BUF/DS6NeItQSSom9nnuTM/EAT+vfhcocnvjq0FlcRY3mNMtdBIeW0ynpOZyrw9lXpjzJn0VHLgTA1cWHIE8zFUERKEgYDqtHYnOGJpAW5UdeXh45OTkIgsCFF15IUbOH5745ijHkG0RzCd56b54a8tTPKpqo7PuMxj3BuJQuiCaFwCt7Iei1f7Y0p5f2FfUDtPT534Ygioy78XZ6DB2JobYMQ0M1AF9++SX7T1ygDojwOnFnCEqdsRzsqMKDnSS3QPZLWTS22hGNEkFX9kDyM0KTQFLBv0CWGOpl4/XNl1LWWoZOLzHppp74BpsRdGMxeMdgdDpIX/oON+zej1OWubBfOld71GO3pcJM9galkbvsIgIEb14a9RJGychWexUvJaZjxMWbhrms3nWA5TkVZ20NNZrTprEIVt0HwDuWDJLLOmi8GN45cDkOjwnZzwAxZkKaa2kMCKVnqYOGNgdxgRbuHJNES0sLK1euBGD48OGERkZz5ye5CF77MQRuBuDJwU8Sbf0Z9YIajtG6ZCud8jAQZAJnp6HzM56xqWv+vLRA6Ado6fO/HVGUGH/zHaQOH4Ohthx9Uy2KILB06VKOHlZT1QMjvZl6Vz+MJih2xnG0sxQPLno6Bba+sAeb3YXkYyDoqh4IRgmhwkjC8WdAgQnejTyz8XLqO+sxWw2cd0svjBYTgnQekikAv7YmQj+dzz0HS1AUhcfHDKN/i3pv6VX+QlE3HUdev4ruAd15cvCTALwnN7AqNJ4IoZF5+nk8vDSXgpq2s7aGGs2v5nHBkuvA2c6q6N7ErzhOy8UeNjQNoqA5ESQBV5o/vQrzOBjfg24tHo4UNCKJAnNn9sakF/nyyy9xOBxERkYydOhQ/v71YYqbKzBHqJmcs7vPZkzsmJ8ei+yhY+HLtDnVXSj/GV0xJvidwclr/sy0QEjzuyCKEuNvvF29M1Rdir65AUUQ+HTxYooKCgD1AvXUOzMwGBQKHPEcsxcj46FPJ6yZuxuH04M+zIvAS5NBAH1BCJF1dyEJcJ6lnL+tvxqby0ZAuBcTbkhF0lmQDFMQdCaiq0po+vx9XiqpQZIk3h7Wj7D2ZjoEb17kbkqT9lG1cC4T4ydyTeo1ADziLXHY4sNg6SA3K4u58cMsbA732VxGjebUbX4OKvZSZvFn/eEWwqM8lPfw5fOCKQC4knwIb63kYFwy3i6Fhly1/94tI7vQJ8af7OxsCgsLkSSJ888/n4359Xy48zim8CUg2kkLSuOOvnf8rKG4179LU80kALz7++DVL+KMTFmjAS0Q0vyOCKLI2OtvJWXwcIxVJeham/AIAh9/+CFlJ3qThcT6MOWODPR6hcP2eEocx1CQyWiV+XreHmRZwdQtAL+piQB456YR0HohJhFG6w/z4MZbcMkuopMD1LR6KRCdaSIIAr2OZLH6qy9YXtNESIA/L8eHYHLaOS4k8KF5NoWe12ndtJ7b029ncMRg7LKTO6JjaRZFbtatIKFhE/cv3Y+iKGdzGTWaX650F2x+Dg/weEQy5+fYabxE4YNDM08eiYlheiRFxmGykFzqoN3upleUL7eN6kJTUxPffKOWrBg9ejQeg5W7P9uH3m8XOu8CjJKRp4Y8hV786eKHSm0hDet1KFgwBHXiOzXtDE9e82enBUKa3xVRlJh4y10kZQ7EVFmE1N6CSxD48L33qK+qAiAswZfJt/dFp5PZ3xlPuVPdMepX52L5fDX93ntgBN6D1N8ig7OmYOkYgL9OoZ+8led2PIiiKHQfEkHayCgkfTwG72EAjNq+kufWbWRfWwfDUrtzk6wed60VJrI9rh+HNt+Gq+Q4zw57lmhrNJXOFu7vmo4HeF7/Jjl5+3h7S9FvvGoaza9gb4Wlc0CReb/bULqsO45nlodva4dzoKE7igiuVD9SS49QFhZHP4fIgWPqkdizF6YhCWodMKfTSUxMDP0y+3PnJ7k0u6owh6l1hP7S5y/E+8b/5FAUZwct7yzHJXdBEDsJuHYYgqRliGnOLC0Q0vzuiJLEeX+5hy59MzGXH0PqaMchirz/6mu0NapFDCO6+jHp1j6Iokx2RwL1bvUuUUaRjRWfHADA97wETN38waUQvfsmzM0ZhOsVkmzLeD/nHwAMvrAL0Sn+CFIfdOYUJFlm8tcfcN+qtdQ6XNw1ZgSDGtSL0G9zM8cHe3Nw4aV4O0VeGPECJsnENmcdr8ck4yvYmKefx3NfH2DRruNnYeU0ml9IUWDlX6G5lPyAGD6rLWdYlJsD/vF8XjAVAHc3XxIaismL646/KNCQWwfAtUPiSQ7zYfv27ZSWlmIwGJg+fTrzNhxjR3EVXtEfoggOMkIzuCzlsp8eisdD66vzaW/pD0DAtCh0/qYzN3eN5gQtENL8Lkk6PVPuvJ/EPhmYygsRnHbadBLv/etftNaoafbRyQGMm5MGKGxr70KbpxARgbScRpYs3AciBFyagrGLHzgVYrJuw9Q4BH+dgn/DfN7I+juCKDD++p5EdPVDMo5B1MdgcDkZufxd/rr8KzoFkVeG9iOkrRmbYOVpHufoMJHDL82iqznmZBuON6UOlvsHkS4W8rTuHf62PI9lOeVnbwE1mp8jawHs/5Q2UeKvYaHMaeigepAXb+RdjaxIeMLNmAI8tFqseHR6BtTKVDbbifA18ZfRXamoqGD9+vUATJgwga2lnby8Lh9T+BIEYzWBpkCeHfYsovDT/9S0zv+Qtpp0APyGgLl/9zM5c43mJC0Q+gFa+vzZpwZDD5A6eBiW0gIEt4tGvZ63586l5kQ7jsQ+IQy/VK1Ou74tlmZPDToE+h9q5bNX9iDrBIKu7IEpJQA8CnH7r0e2p+Atgb72PR7b9jA6o8CU23sTlxaG3ut8JGMXdB43qcsXcNWq9Uh+/jwf5YdPp41aIYzHeZo9/TopuvtKJoWO4vKUywH4m5+Fz6xWLtZt4nFpAfcvyaOwVssk0/xOVebAqnuRgQdSBtC9uhzfoR7ePzSLVqcPsrcOT4qVmLpy6oLCGePWsyGrEoAnpqUieJx8+umnyLJMcnIyYlC8ei/Ifzt6333oBB1zR8wlxPLTrTA6v/mWtuIEAHz7tOA9eeiZnLlG8x1aIPQDtPT53wedXs+Em+9k1CWzsRw/iuB00GY2897ixVRt2wZA6rAoRl+ZgigqbGoLoNKpbt0PqnCw4t1cBL1I4OUpGOJ9UBwyqUceRpGtxBllaPicF7NfRG+QmHhjTyK6BqIzn4fB2hWd7KHHFwuZsT2Pnj2684KfSGB7My2CP8/pH6Sw1xFKr5vD3b3u4NLkSwF4Isif5d5eXKFby518xJ2f7MPlkc/a+mk038veAp/OBo+TN7tksLPjOGNiXeysyWBfXU+UE9WjkyuPcTi+B+mSnn3b1B3OawbHMyo5mGXLlp3sKj9qwnncvCgbl1SOOVS9F3R3v7vpE9rnJ4firiincaNand07pgjrxZPP3Lw1mu+hBUKa3z1BEOh73jQmXnsjluNHEO2d2E0mFi9bRlthIQDJA8OZekcfjEaZPR1+1LiOAdDnWDtrVxcgSCKBl6Qgeuvx1LroUf0SAMOsbvYVzWdl0UokSWTsNT0weRkRxLHoLWqNoR7ffsqNB0oYP2AAz/uI+NpbaRSCeL/LFTRYs6h/4UXuz7z/ZMuAv4eEUaLTcaPuS/yqtjBvfeHZWTiN5od8+zA0l3IkMIY35QYuF120Gnz46MhFALgTrcR1VHIoJokIvQ5xXxNtdjfpMX7cPzGZPXv2UFBQgCRJXHzxxfxzTRGVra34xHyKIrgZET3i5C8HP0bxyDS+swVF8UZvKMP32ovP9Mw1mv+hBUKaP4zUEWMYcN40zGX5CC4nLd7efPLyPJwNDQBEJvkz8Za+iILMTlsMHfIxdAiEb6xi/8FaJB8DAbPUGkOeAyLxzocBmBngZN6uhznUcAhrgImRVyQjiCYEaTyCKNGt6CDO7ev5R3EVE4YN5QqbemF7gzCWbRf0oHbFe9i2beeujLvoH9afTsXFA/EpuIB/6t/igw257CtrPkurptH8P4VrIXshMvBkZDyhOhc9wjx8cGgmHW4zso8eQ5hIpV8ICCJj20UOVrRgNel49dI+dLS3snbtWgDGjRvHgSaRz7PKMYauwqOrJsgcxOODHv9Z/cBa3l+BsyMKgU4CL09DMJrP8OQ1mv+lBUKaP5Qhs2bTrU8/zOXHQJYpD/BnxWOPIXeqXeAjk/wZOku9M7SuNQY31fgi0LLoMDUNNkxd/PAZHQOAcXsSAeIYTCJc6t/GPRv+QrO9mcT0EFKHRSLqwjH5jABgxPZVfJqVy9qGVm4bO5K06hIA3tbfRPVlOioeuA+5qZmnhjyFj8GHA+4WXo+II1xo5DHpPe7+bJ/WnFVz9tlbYMXtAHyeNon9bUVc4eViZ00/cv99JJbqT2xnCw6jmfO8vPhim5oB+dCkFMJ9TXz11Ve4XC5iYmJISu3NA0vzEE2lGPx3AvD04KcJMAX85FA6tuynPT8QAP+MenRJqWdo0hrNj9MCIc0fiiCKTLz1LiIiwjFVlQBwIDCQDQ8+hOJWqzqnDo+m59BgZGBTqzcebMTJIrtfzcbucmMdFYMh3hfFKRO+71p0YhCRBoUBhuPcu/lePLKHwRd2ITDSG5k0vPxT0Mkepq5ZzN15+XSYzDycGImPo416IYT3UmbTHl9L1cN/I9QSejKT7B2jQq7JxDRpO13q1/Hi2oKztGoazQnrnoTWCuoC4njRfpxMLw8mvTcfnWio6u7iQ7ytkiNBkQTqJNr3NWB3yQxMCGRmv2j2799/snr0lClTeHb1UerbO/GNXgEoTE2cyqDIQT85DGdZC41fq3f5rIE7scyYdSZnrdH8KC0Q0vzh6I0mzr/nb/jrRQx1ahbLVm8vsh9//GRV5yGzehDd1US7bCTbZkfGQ3oHfPVmDoIoEDirG6JFh7vKQbe65wGBQd4enC1beCX3FXQGiXFzeqA3SrjlkRi9AvBvbSRj3TJuOVTKoIy+XNSoFnhcL4xj68xUWnavo/nTzxgfN57JCZORUXg4OoEOQeAp/bss2ZxNTmnT2Vo2zZ9dRRbsmY8CPB7fHdnTynRvN+8fmkWn24zsq0cfLlHrGwTAFKeeXccaMOpEnpnRE4fDcbJ69LBhwyixSSzeU4befyduXTk+Bh/+mvHXnxyG3OGi4b09oOgx6XLxuXYmiNo/RZqzR/vq0/wheQcEMv3eR/Bqa0TX0ogiSXzjdlP86qsAiJLI+Jsz8Q+ESpcPxXa19lBmeSffrDiK5GvE/6IkANxZkCA+CMDF/k6+PPwW60rXERDuxbBZSQiiCaTxIIh0L8yjac825pXW8tcJY+hVpVaRftN8M1UXGqn5xz9wFBXzQP8HCLGEcNzdzguRCQQKbType5d7P9uHw60dkWl+Yx43fHkHoPBFykg2NR5gmq+L3IZ09tf3OFE92p/49gbazV6MMlv4arN6JHb3uG7EBXmxYcMGbDYbgYGBZA4YxEPL9iPoWvAOWwOo1aN/6khMkRUaP9qPp8OIJFQRMNkfISDmDE9eo/lxWiCk+cMKiUtg8l/uwVRdgthpw2k0sqKggLolSwAwmnWcd8dATEYPB+zBNLorEBGI2V5D3oEazCmBJ9twGLekEGgajVGEKwMdPLb1IUpaSkgeGE7XjBAEKRyL/2AAxmz5kjf3H6ZQNPC3rjH421toFIJ4J/Ny7JE2Ku+7D6tgPtmpfrHexTaLFxOkPaQ0fMtrG46dnQXT/HntmQ/VeVRb/HjWXU2swUN3g4HFR2YA4E6wEtVRzeGgKKySgHKgkXaHmiV2zZB4ampq2L17NwATJ05kwY5S8mvasEYtx42dtOA0Lky68CeH0bapDHuhDXAQGLEUMfOnM8s0mjNNC4Q0f2iJffsz8vJrMJcXIrhdNPv7s+Lrr2nfoV7c9A02M+FmNZNsW3sIDqUeKwKtHx2hrqkD34nx6MO9kG1uwg/ciF4XTIRBYax3E3duvBO7x87wy5LxCTLhkfti9o3B5LQzft0SbjpYTI9evZjVqnbh3iiMZetVPeg8mEf9m28xKGIQlyRfAsAjEdG0iAKP69/n0417OVLdetbWTPMn01IB659EAR5L7Em7u52LfeDT/PNpc1mRvXWIUUbafQJBEJjmMrKjsAGDTuS5C3shoLBy5UoURSElJQVzUCQvrytA55OLYj6MXtTz5KAnf7J6tKvGRusadZfJX/cGhql/0Y7ENL8L2leh5g+vz6Rp9Bo2ElP5MVBkyqKjWffiCziK1I71kd0CGDarKzKwsdWKhw7iZJHtr2bjFhQCLklG0Iu4imx0s6n3hQZ7u/FyHOGZXc9gNOsYe00PREnCo4xB0huJqSohfM8m7s4v59YxI0irVmsFvRVwPfXj9NS//jqdeXnc2fdO4nziqPV08PfIBPyFdh4X53P/53l4ZK1LveY3sPo+cLazNDqVbe3H6WMRaOuMZlvlAABcPfxJbqmmyWSht9HI+u1lANwxpitdQrzJzs6mtLQUvV7P+PHjeeLLg9jlZrwivgTg5t43k+CX8KNDUGSFpmUFIINJ3IWlpxfEDjyz89ZofiYtEPoBWouNPw5BEBh97U3ExsZgrFF/iOd260bWPffgblIvJ/cYHkvqQD/sisjedg8KMn3bFVYs2Ic+xILf1EQAXFsgzqxe+JwV4GRj8RK+PPYlYQm+9J0Yiyj5YfAaAcDQXWvYdTSfdS6BO8IC8XG1UiuEsWDyxbh93FTeex9GFzw95GkkQeJrnYtvvK2Mk7KIrVypNWbVnHlHvobDX1KlN/Kc0YWEwlQvWHT4ROHEaC8ClWb2B8cgAjGlnTTanCSFenPd0ARaW1tZs0a9AzRq1Chyapx8c7AGU9hXyEIHKQEpXNnjyp8cRkdWDc6SNgTs+Fk+QBj3xJmctUbzi2iB0A/QWmz8sUg6PVPvepAACXQtDSiiyOYuiRTceReK0wnAkMt6Ex4lUu02UWRXA6S+he1s2lCMJSMUc1oQyAqWLX3xtWRiFuHyQCdP73yC4pZiMibFERJrRaY7Fv9u6GQP5637jEeOlNAjI5MJ5SUArBInsW9OAs6SEmpfeIG04DSuSb0GgL+HhtMsijyqX8j81bupauk8K+ul+RNwdsCqewH4e5de2DydnG81sqNqIJW2cBSDiLurD75mMwgCE3Vmvs1VMyH/Pr0neklk1apVOBwOIiIi6N03g8dXHETyykfnsw9REHls0GPoRf2PDsPT6qTlq3wAfHSL0E37G/jHntm5azS/gBYIac4ZFl8/pt/zN7wbqhDtHdjNZtZbzFQ++RSKoiDpRCbcPggvi5sDdh+a3XXoEPD6ppTSylb8Z3RF8jPiaXQQW3ovkuRFolFmsKWNezffixsXY67ujt4g4ZFHoDd5E9JQTY/d67n3WDW3DhlAt4YiFEHitfhrsPVUaFr4Abadu7ix140k+ibSKNt5NjKOAKGdu+V3efSLg2d72TTnqq1zoaWMnYHRbLRXE65TSDaIrDg2EQBXkg8pjeUcM1kJkCSO76kGYFa/aDLiAigsLOTw4cOIosjUqVN5b/txShqb8YpYDsClyZfSPfDHO8QrikLjJweRHQJ6oRDvTD/o+dOXqjWa35IWCGnOKSFxCUy86S+YK46Bx0NdSAhb8o/S9MGHAFh8DEy4JRNR8LCt3Q+30kYYIjlv5+EQOZlS78huJ8nwDAATfFx0th9k7t65+Id5MWB6IoLohWQaBcCA7M0cyT/CDq8ALpU9mOROioQufD7nPBS9QtWDDyJ1unhi8BOIgshXOjcbLRamSjvwHPmatYdqzs5iac5dDcdg20t4gOdCwxFQuMpPYdGRi3DKBmQ/A2ZfNyUhUQCMbBMorG3H36LnvgnJeDyekzWDMjMzwezHK+sLMQRtQNE1EmoJ5db0W39yGLadVTiOtQMOAkKWIkx85gxOWqM5NVogpDnndBs4lAGTpmKqUi9LH0lJIesDdWcGICzRjyEXJOAGtrcbUPCQYYel7+ZiSvTDe0ik+onWBRLmeyGiAJcHOPn86CI2lG4gbUQUkUl+IHTBKyAVUZGZuH4JT+aXMmT4cAaWHAVgsf5CSi6NxlVZSd3cf5EWnMbs7rMBeCo8mnZB4En9ezz7xV46nO7fepk057LVD4DHybL4vuR3VjPaW6CwMe0/NYN6+JEkO+gURPoaDGzYpXaWf2BiCv5eBrKzs6mrq8NsNjN8+HCeWXWYTqoxBm4G4P7M+/HSe/3oEFx1HbSsVEtF+OoWoJ96F+i1XmKa3x8tENKckwbPvJwu8fHoG9Tt/t39Msi//36c5RUApI5OIKmXhSaPSIG9A4ABJR1s2FKC7/hYdCFm5HYXIYcuw2gIJ1ivcL6fi0e2P0KdvY5Rs1PUqtOeoejNVoKbaknftZaHK1u4KakLUR2V2AUzL/e/BFegQtNHH2PbvZube99MlHcUNXInL4ZFEyE0MtP2gdahXnP6HFoBBd/QLhmYZ3DiJSoMMBpYfPREzaBEH5Iai8nxCUEvCAQW2uhweugb68+FfaPo7Oxkw4YNAIwYMYLDdXa+yK3AFPYFCB6GRg5ldMzoHx2C4pFpXHwUxQ1GMRvv7h5IHHnGp67RnAotENKck0RR4rzb7yFYcSF2tuMyGNia2oPS225D7uxEEARGXNMP/wAPh+0mmj0tGBEwfX2ciqZOAi7uBqKA42ALScKzAAzydhMp1PPg1gfxDjQy6IIuCKIZyaAekWXmbqE4/yhHY7swubIKneIiV+jDN/dOAKDq4b9hdMGjgx4F4FOTQK7RwNXSarZtWUdBTdvZWSzNuaOzGb6+B4C3ug+n0dnCVCt8mj+DDrcF2UePFGHAHqoeiU3Tmdh8uBZRgCenpSKKAps3b6ajo4OgoCD69u3LU18dQmfdj86rEINo4IHMB36ys3zr+jJcFe0ItBFgeBVh/FNneuYazSnTAiHNOcts9WHaXQ/gVVMGHjcNQUFk6XVUPfQQiqKgN0pMuG0QOsnNjnYLbqWDaEVkz5u5SBHe+IyKBsC1ViQm4CYAZgW4OFCzkwUHF9BjaARRyf4gJuLl3xNRUZi4YSnPFlQwfthQ+lUeAOBt63QaR4bjKi2l7qWXGRA+gPO7nI+CwmORcciCwhPSOzyyfN/JXmkazSlZ+yi0V3M8OJEPOo4RrJMx2ePJqu0NglozaPjhPRw3Wogw6DiWVQvApf1j6B7hQ319Pbt2qUfI48ePZ/WhWrLLajCFrQRgTs85RPtE/+gQHKWttG0oBcBf/xrSgAshMPHMzVmj+ZW0QEhzTgtN6MLYK67BVKXW7DmckkJBVhYNb88HICDci5GXd8epwI52HQoy/WwKKz7ej3VkNPoob5RON3654/GydMUqKVzo72RezsscbTrKyCuS0Zsk3PIQ9GYrQU219N6znuc6RGaafQhx1dIq+DL/oqkokkLjwoV07tvH3Rl3E2AK4Jhi5/2AIHqLx4gvXcoXuZVnc7k0f2THt0PWAgCej03BLbuZ4aXjoyMnagbFehNur2VXcjoA5zn0HK5qxWrScecYNUng22+/RZZlunbtSnRcAv9YdQRD0HoEXQtR3lFc0/OaHx2C3Omm8eMjIINZ3IjFlA1D7zpzc9ZoTgMtENKc83qOGkfvPn3RN9WBILBjwADKXnsN2/btACQNjCKlrzeNHoEih3pfKHl/M3lH6gi4MAkkAceRZroqTyMIOtItHtJMDh7Y8gBGP5FBM/59RKbegcjct4X8Y4W0p2Uw7FgBAKsZSsFdw0GWqXr4YayC+WSn7jf9fKjQSdyrW8wrX+2k1e46C6uk+UPzuGHl3QBs6zmZjQ15JBlkDtWMoN4eiGKScCdambBvF61mL4ZbvVi1Xd21+cvorgR6GyksLCQ/Px9RFBk/fjzztxRRYSvFGLgVUC9IGyXjDw5BURSalhbgaXIgSY3461+HATeCV9CZn79G8ytogZDmnKdWnr6RSIOAaO/EYTazK7Mf5X+9G1e1epl66Oy++Pu7OdhppN3ThhWB2o+PYvc14DNSPQpwrHUSF/oXAC7yd1HbWsC87Hn0GBJBRFc/ELvg5Z+MJMuM2/wF/6hs4rzuqXRvPYoiSLyYMBIl2hdHQSENb77FlIQp9A3ti11x80x4LH6CjTmOhcxbV3C2lkrzR7VnPtQexGH25+80IKIwxujHNyXq/TVXsi99j2TzRb8RiEBSrYv6diexgRZmD4xDluWTFaQzMzNx6rx4dUMhptAVIHgYFjWM4dHDf3QItt3VdO6vB0EhUHoK0aSDQbed6ZlrNL+aFghp/hT0RhPT7noAa0MFyDLVEREcCQ6i4s67UFwu9EaJ8bcOQhTd7LCZkBUXKW6Br+fnYh0RjT5MbczqmzsCqzUVs6hwcYCD9w8tYG/tXkZenoykF3HLQ5H0RiJryuiSt4vPfCMZXt6AXnFymGTW3TsZgIa33sJZXMLD/R9GJ+jYpHOzwWJmlm4juTvWUFxvO8srpvnDaK+FDU8DsCBtPKXtFYzwglVFU/EoOjxBRqQAHWOOHKTBL4Dz/XxYulPdDbp3fDIGnciBAweoqanBaDQybNgwnll1BJcpD513AXpRz3397vvRIbibHbSsLALA13sZBjEfBt0KZv8zO3eN5jQ4pUDo8OHDPProo4waNYrExETCw8NJS0vjyiuv5KOPPsLhcJzucWo0v5p/eCTnzbkJY+2JfmS9e1NZXEzdSy8BEBjpzeAZ8XTIkNcpA5BZ0cmm7aX4X9gVBOjMa6Cr/ikEwUCqWSbT4uFv2/6GIQAyJ8cjiFb0XkMAGLb7WzZVVJGY3pfM6jwA3pYykKdmoLhcVD/2GIl+iczuodYW+kdYFJ2CwEPi+/xjpVZxWvMzrX8SHK1URPTk7YYsLKJCtDuevPpUEMCd7MuErd/y6cCRmEQBS3E7NqeHtChfJvUMw+PxnEyXHzRoEIdq7XyZV4Ix9CsArupxFTE+MT86hOYvj6E4ZQz+bXg73wNrOAy85YxPXaM5HX5RIJSdnc2YMWNIT09n69at9O/fnzvuuIMnn3ySyy+/HEVReOihh4iIiODZZ5/VAiLN705S/8Fk9u+P1NaMIopsHzSQmvcW0L5FvQeROroL8UkSx50idS4begQMq47TZJZOFlq0r+4kIfpOAC7wd9PWUcbcrLn0GhNNYJQ3Cj0x+0RhdDoYsX0V/1K8GNEp4uNpoVYI49Op6QgmEx27d9PyxRfckHYDYV5hVCoO3jpxcdrr6BK2F9aftXXS/EHU5UOOWjV9XkwyDo+D870kPsufDqgXpH0UOyMKjlAcGcOFVh++yFKLJ94/IRlBEMjOzqapqQkvLy8GDBjAC2vzMQRuQtQ3E+YVxpyec350CJ2HG7AfbAAR/J1PIggKjHkMDD9ecFGj+b34RYHQBRdcwIwZM6iurmbdunU888wz3HbbbcyZM4d7772XhQsXUlxczFdffUVOTg7/+te/ztS4zzit+/y5a/jl1xKlUxBcTtp9fNjXqxeV99+Pu64OQRAYdf0gvMxO9nYYcCsOYhSRTe/kYh0Tg+RvxNPswPfQKHx8emEUZc73d/HJ0U/YU7ubkZcnI4giHmUYINC9MA990VFqknuReVzd5Vnk7IfznmkA1D77T4w258mjh/d9vCjR6bhPv5jnvsrGI2vp9JofseEpUGSOdh3F1zW7CdbJNDVnUNMRqjZVTbBy7bIP+HjIWHx1Eo0H6nF5FIZ2DWJQlyBcLhebN6vVoocNG8b+KhvbjxdgCNwEwD0Z92DRW37w8bLDTfMKtXq0d9gR9J5DENEHel585ueu0ZwmvygQys/P5+abb8bPz+9H3zdw4EAWL17MPffc82vGdlZp3efPXTq9nml/uQfvejVVvTCpKxU6HRX33ovi8WDy1jPmur44FYW9NgmAAY1u1m4swX96VwBsO6ro4v0oINLH4qGb0cNj2x/DGqkjbUQUoi4Ms28fAMZu+ZIFnQqDLQGEumpoF6y8HhuEoWsinqYmal98kdExoxkcORgXMv8KjSBUaGZU/SKWZJeflTXS/AFUZMOhLwCBl/19UFA432LiqyK1gKe7qw/JlcX0Pl7C3pSeTBVNrD9UiyQK/G2y2ix19+7dtLW14evrS9++fXl5fSHGkFUIopv+Yf0ZGzv2R4fQ/GWRmiVmFfFpfET9ywnPgKhdP9X8cfyir1a9Xv+T72lubuaVV1752e/XaM6GgIgoxl9yOfpGtaDczoEDaN6bRf0bbwAQ1T2Y9CE+1LgVKpwORAR8N1bQFGDAkh4CCjhXu4mOuBKAWYEeam3lzMuZR/9pCXj7G5Hpj95kJaClnj552/gyogsDjql9yFY4+1N9n3p80fzJp9gPHODejHuRBImNBthtMnK9tJKPVm/S+pBpvt+6JwDI6jGRzXXZJBpkcitHqxWkrXoIM3HHh2/wyYjxhOh15O5WA/8rBsSSFGrFbrezdat6JDxixAj2V7axrWwPep/9iIjcm3nvj1aQ7jxQT8feGhAgIHQZIh2QPBliBpz5uWs0p9FpC9vXrVvHpZdeSnh4OI8++ujp+rQazRnTY/hoesRGITjsOEwmsvr2of6VV7Ht3AlA/1l9CQ50kNsp4lScRCkiW97Zh8+keESLDld1ByHlszAaQvGX3Iyxulh0eBGHWg8wdGYSgmhC0A0GYFDWRvJbbSSGxJLUmY9H0POMx4J1ymRQFKoff4J4aywXJanF7/4ZHo1OcHGT4z3e2lx01tZI8ztVvBmKNqCIel4wqoHyMH0AG8vVi/rubr6M3rOF8OYW1mQOZWi7QEGN2l3+jjHqrubOnTvp7OwkMDCQtLQ0Xlp3FGOoWkF6etfpJPkn/eDjPa1OmpaqZR6svUWM5W+DIMJo7We/5o/nVwVCZWVlPPHEE8THxzNu3DgEQWDZsmVUn6jNotH8ngmCwPgbbiPA1giKQmlcHBXh4VTecy/upiYkncjom4Yg4ybLpn6rDGhys2FnGb6TEwBo31hNlxD1SGCsr0yIzsPjOx4nuqcfcWlBCLoUjN4x6N0uRu5YxTv+UQw6Vo6kuNkrp7Bj9mBEb2/sBw7Qsnw5N/W+CaveylGcfGG1Ml7ay4HNy6hts5+1ddL8zijKyd2gtT0nsq/pCAl6hQ0lU5AVCU+ICbO3wI1LFrFiyGgiLF5s31MFwF1jk/CzGLDZbGw/UVB01KhRHKxqY2vVOiRzGSbJzK3pt/7w42WFxs+OIne40Ud44dOupu6TfjkE/3DwpNH8Xv3iQMjlcvHZZ58xfvx4unXrRm5uLs899xyiKPLQQw8xYcIE7UhM84dh9rYy7fpbMPy7S/3A/thaWqh66GEURSEwykr/CaHUuhXKnU5EBKzry7HFWzF28QO3grQtisCAkYjIXBooU9hcwDsH3mHYrCT0Jh2KMAwEgeRjB/CtLMEelcyAFvXu2T8azPjefAMAtS+8iK/bwPVp1wPwSkgYHYLAfbzPq2uPnJX10fwO5a+G8j24dGZe9KhHu73kRPbX91DT5ZN8mb5mOdbOTr4YPpZe9W6aOpwkBHsxK1NNg9+wYQNOp5Pw8HBSUlKYu24fxpB/9xO7liDzD1eDtu2oxFHQDDqRgMwahLJtoDPBiAfO+NQ1mjPhFwdCkZGRzJs3jwsuuICKigqWLl3KhRdeeCbGptH8JmJSe9E/IwPR0YlTbyCrXwbt69fT/MknAPSekkZYiJ28TuHkEdnGd/Pwm5qott842kQ89yCKZmINTjK9PLyV9xZ1UiV9J8Qi6kIweqv9nUZvXcnnXsH0Ku/EW2mjQgllSWY4hthYPPX1NLzxBpemXEqkdyR1soP5gSF0FStwZX2oFVnUgCzDuicB+DR1DKW2SuIlkTXFUwE1XT7I08kVq1ewOT2T8OAwNmWrd4PuHZ+MXhKpqakhKysLUBurHqpqY0fjIkR9GxGWaK5KveoHH++qsdG8qgQAv4kx6Pc8rH5g4C3gE3Fm5qzRnGG/OBByu90IgoAgCEiSdCbGpNH85oZfeiVhsgMUhbLoaCoiIqj5x7M4iosRRYHRNw9HFtzknDgiy6xzsiO/HutQtbZQx+oWEqLU9hsz/BV0ipPHtz9Or9FRWANNIPZHZ/QiqKmWtMN7yIlOZWi9ehfp1ToLXvepjSkb318I5VXc1Vf93x/4eFEtSdwufc7Lq3J/41XR/O7s/xRqD9Jm8uGNzhIA4uwZVNnCUPQC7gQrV33xAQaPh2UjxhFVZsfukukb68/4HqEoisI333yDoiikpKQQFxfH02tXo/dXvxafGPLoD/YTU2SFps8LwC1j6uaPl241NBSCVzAMvuM3WgCN5vT7xYFQZWUl119/PR9//DFhYWFccMEFLFu27EezCzSa3zudwcD0m/+CoUk9atgzaAAOj4fK++9HcbvxC/Oi/4Qwqt0KVS4nOgQ8XxejDAhD8lVrC/kVj8Fi6YJJcDHFXyG7NpuVpV+dbMoqGtSL00P2rmef3kx8o4lApZ5G/Hk7yI3X4MEoLhe1c19gbOxY+oT0wa64eTEkgjChiYgjC8grbz6Lq6Q5q1x2WP8UAPOTh9DsbCFZNLO2ZDwA7q6+dK+vYeL2LRRGxeKV1JNNeerdoPsnqsUTCwoKKCoqQpIkxo4dy97jDeyzv4sgKIyMnET/8P4/+HjbnmqcZW0IRgn/88IQNj2jfmDEA2DyObNz12jOoF8cCJlMJi677DLWr1/P/v37SUlJ4fbbb8ftdvP000+zZs0aPB7PmRirRnNGBcfGM2L4cDWLTKcnq38m9n15NMyfD0CvyT0JDXawr0PArbjpKous+vggvufFA9C+uZKuYX8DYKCXg3C9zNy9cwnsrieiqx+C1B2TNRKj086Q3WtZFZnK0OpdACxo8EV3120girR98w2dubnc2+9eAL42CRw16LlR9yVvrNLqWv1p7XkbWsqo9I3gw7ajgIJX6zA63F7I3jqIMHPLioUIwLLh4zAea0dWYGz3UPrFBeDxePj2228BGDBgAP7+/jz87SIkUyU6zDw25If7iXnanLScOBLzGReLdGg+dDRAUBL0ufLMz12jOYN+VdZYYmIiTz31FMePH2flypU4HA4mT55MaGjo6RqfRvObGnD+RUQIbjWLLCqK6pAQ6l55FfuRI4iiwKibhuLCzYFO9f19j3dwWPBgiPdBcckI2wMJCZ6IgMLlQRJNjkZeynmJoTO7IooiMkMBSDuaTZvDQUBnGJFyGTa8mOesxHf6+QDU/vM5ugd2Z0LcBBTgxdBorEIn6cffZVdRw9lZHM3Z09kEm58H4OWENJyyi75CEFvK1a8ndzdfxhwrpHtuLm1mL+r6DGV3fj2iAPdN6AZATk4O9fX1mM1mhgwZwrqj1ZQpywC4NHk2AaaAH3x888oiFLsbfaQ33r29Yedr6gdGPACS7gxOXKM5805LHSFRFJk4cSKff/455eXlPPjgg6fj02o0vzlRkph+020YWtQ+X7uHDsGtKFQ++CCKy0VAhDcZo4M47lRocruwIFD2eT5ek+JPNGWtJ05/J6JoIlJnI93sYUnBEiqNxXQfGomoi8Ds2x1BURixYzVLwpMZUpUNwEfN/sg3zkEwm+nMyaHt2zXcmn4rkiCxVecmy2hktrSG91ZtRVG01ht/KtteAnszh0KTWNl8CBSF1voxJ7vLW3z0XHdwGwDfDBiKo0gttzCzXzRdQqw4HI6TjVWHDx+O0WjiiQ0LEY31GAUrN/e5+gcf3Xmwgc7cOhDA//wuCNnzwd6i7gZ1n3bm567RnGG/KBD6OT98g4ODueuuu055QBrN2RYUHcuwIUMQXE469Xr2903HcegwDe++B0Cf83sT4GcnpwMURSbDIbBqeylemWEAdKxpJS7mRgBmBkkYBIVndj1DvymxGC06PMoABFEivrwQ/7oK3O544uQiHJiYW5dP4NVXAVA791/EmCOY0XUGAHPDojAILoZXvcfmAq0h659GWzXsVCuezwuPBWCwFE52rZqJ6E7yZVJJIb4bNwJQ0Gso+RWtmPQid4xR6/rs2LEDm82Gv78/GRkZLN93nAa92l3+2p7X4qX//gapHpuLpmUnCicOi8IQKsKOV9UPDr0bRC1hRvPH94sCoR49erB48WKcTuePvq+goICbbrqJf/zjH79qcBrN2TLw/IsIldWv8/z4BJp9fal/9VUcRUVIOpFR1w+kXZYpdKi/HMTlNNCWFohglHBVtBPUOAOTKRoTnUzyEzjQcIBvq1eROSUeUfLD4KX2IRu18xu+CUlkSKW6K/RZSwCdl8xECgzEdbyUpk8+5cZeN2KSTOSJLraYTVwkbeLT1eu1XaE/i83PgbuTnOjebG05iqgoVNeOBMATbsZfB1cZOtE5nZSERVLc7g/A1YPjCfUx0dHRwY4dOwAYPXo0gijxzx3vIOqbsYgBXN3zsh98dPPyQuR2F7pQCz5jY2Hvu+rdIP94SL3gzM9do/kN/KJAaN68eTz//POEhYUxc+ZMnnvuORYtWsSSJUuYP38+d911F5mZmfTu3RsfHx9uuummMzVujeaMknQ6ZtxwM7q2ZhAEdo0cjux0UvXgQygeD6EJ/vTsb+GoXcYuuwlDZOvSI1hHRgPQ/m05XePUI+Lh3g4CJJkXs18kZoAV3xAziP2QDGYCG2uILT1KvTORrp6juNDzXFkewbeplX3rX32VQI+ZS5IvAeDlsGhEQWZc3QK2Fmq7Que8xmLIWoACvBwYCMBwXSi5db0AcCdYmVZxjMavvwFgX6/BlNV3YDXpuGFYAnZ7Jd9++w4Oh4PQ0FC6d+/Ox3sP025aDcAdfW/DpDN976M7jzTSub8eRAi4KAlB7oStL6ofHPpX7W6Q5pzxiwKh0aNHs3fvXlasWEFISAiLFi3i1ltv5bLLLuOxxx6joKCA2bNnU15ezrPPPouvr++ZGrdGc8aFxCUwML0XyB6aTWaOpSTTmZtL48IPAOh/SSZmcyd5Jy5OD2xwk2eQkfyMeFqdGA93I8B/MAIeZgYbabQ38vaBtxl4fiKCaEIy9ANg+N71bA9NZFBVDgDLWvywTZqIIT4eT1MTDW/P55rUa/DSe3EUB2stZqaIO1i6eo22K3Su2/QsyG52JQxgb0sBkgLltaMA8ISZCVc8XDowlfAD+wDYYk0F4KoBPlQUP8CmzePZv1+tmj5ixAg8CryY9TqCZCdQH8fFydO/97GKW6blK7XHnfeQSAxRVtgzHzrqwT8Oes06wxPXaH47p3RZesiQIcybN4/c3Fyampqw2+2Ul5fz5Zdfcuutt+Lv73+6x6nRnBXDZ16On0Ot6LwvrScOg4G6F1/EUVyMwaRj2GU9qXIp1Lg86BFoXVWCeazaxqB9UzkJYfcAAt30LUTrPXx0+CPEBBthCT4Iul7oTb54tTXTtXA/lY4kkuTDuNHz3LEcQu7+KwCN77+PV7Od2d1nA/BKaBSKoDC29j22H9MyyM5ZDccgT61u/oaPNwAj9SFk1/ZGAdyJVi6uK2X3itWIikJhXDcOui34GO0ki9dQXbOcstJueDx6goN9SU5O5p1de7GbtwDwyOD7kH7gjk/7tkrc9Z2I3np8RsWAo129sA0w7B6QtDZKmnPHaes+r9Gci3R6PRdcdS2ioxO3IJI9ZhSKw0HVw39DkWXiM2JITHSyv1NGVmTSXCLrj9ZiiLaiOGXkHSbCwtTMmtmhFtyKi7lZc9Uii4IexEwAhuRsIis4jsEnMsiWNHvTOmgQ5r59URwO6ubN44ruV+Bj8KEYB197eTFJ2s3y1avP2tpozrDNz4Eik9NlGFkt+UgKFFSqxRPlMDNdnS4mTh1NyPq1AGwMVrvKT4hdhUnnpq42hfLyHgAkJaXikRXe3v8yguAhxtyHUbFDvvexnlYnretKAfCdGI9o0qk1jP59NyhN2w3SnFt+8SHvyy+//LPed/vtt//iwZwpxcXFXHPNNdTU1CBJEjt37sTL6/uzJDSa/y86pQepsZHkVTdSavUhKSKcwKwsmj/7HP+ZFzPk2uEsengT+Q4TySaIzWvCc2kyfNSGbU81sX1vpVb8mmC5iTSzmY3lG7kk5RBxaUEU7+uBgVzoqCP5aA5VPnF0kw9zVEzhufwsnrnnbkpmXULLsuUEzL6Sq1Ov5qXsl3grJJJJxfmMrXmXXUUT6Z8QeLaXSXM6/ddu0Fs+VmiCTCGGbxt6oAjg7uLDpbUlvLG1lNvLj+MRRb4N7ofV0EY3XSO7d03D4VB3kQIDAxkzZgwvbvsGp2kfKAL/GPHDJU5a1xxHcXrQR1uxpIeoNYz+vRs0/F7tbpDmnPOLv6JfeOGFn3yPIAi/q0Doqquu4qmnnmLo0KE0NjZiNH5/Lx2N5odMvnIO+Y8/gt3kzc4hg5n06efUPv883iNH4B0SQuaYAHZ9206sAUJFia0bjjOqZxCd++vpXNtO9IhrOH78DS4JNnCg1Mnze5/nzakLOL6/HrfQH/iKAfu38/G065hU+w1Hw1JY2mjkoUHdsY4fT9s331A791/Mmvcv3jvwHiXOVr71sjDRlsX936yh/03ab+nnlBO7QUe6jmBr036QFQqqJgHgifIivb0TIX4Zfl/GAbAvLIE2gxf9lBLKitLw8vLC5epElmUmTJiAW5ZZeGQe6KG7dRw9Q7p972Nd1TZse9U7RX6TExBEQS3k2NkEwSnQ8+LfZPoazW/pFx+NFRcX/+SrqKjoTIz1lBw8eBC9Xs/QoWoF1oCAAHQ67TcazS9jMFuYNHkKeDy0ixIFQwYht7VR84zabyltWgY+1nYOdKqXl9Or7NR0sard6QuaCXdfhl4fgFlpYaSvnoKmAjZ3rKHbgDBEfVcMlnAkp4NuR3Oob4wiQSnAiZ55hbmE3HkH6HTYNm1G3HeYy1MuB+CtkChkYGDl+2QdbzpLK6M57f5rN+h1HzXhpKcnheLWOBRRwJ1oZUL5UhbLExi1ZzsAa8Mz8dbDbRMzuPHGG+nRoweyLBMVFUWXLl34x5aPcOtLQTbyz9H3/OCjW1YVgwLm1ECMsT7qWHa9qX5w/FPabpDmnHTW7wht3ryZKVOmEBERgSAILF++/H/e8+qrrxIXF4fJZKJ///7s3r37Z3/+goICvL29mTJlCn369OHvf//7aRy95s8kbchwIi0GAPIiInEYjbStWk375s1Iksjw2b2pdCnUu2VMCBR+U3KyyKJtbS3xceou6SRfN0ZB4ZXcV+g5IRydXkIRBwLQ9+Au8gK6MKRB7UG2qFbGERWN34VqzZbal17ikuRL8NJ7UYidDRYzk8UdfPLNxt94NTRnzJZ/gSJztMtw1jfmoMhQUjUOAE+cN0Pq2vAkH8dT5kVUXTUOSc+O8B7cMjqZYYP6YzabycrKAmDUqFE4PU6WFL0NQF/fC4n1+/4WSPbCJuxHm0AU8Jmg9s9j7WMgu6DLGPWl0ZyDflUgtG7dOh588EHmzJnDNddc853Xz2Wz2ejVqxevvvrq9378k08+4a677uLRRx8lOzubXr16MX78eGpra0++p3fv3qSmpv7Pq7KyErfbzZYtW3jttdfYsWMHa9asYc2aNb9m2po/sYvmXI/odOARRXImTwSg+smnkO12InvGkBjfzv4OD4qi0KdDYZ9eQdCLOMvaCGgZh8USj6R0MD3ITH1nPZ9WLiJ1eCSiLhajVyyix02X/H3Ya/2JUMqwYeLNogME3XgjgsFA594sdFkHuTT5UgDeCIlCFBT6lC7gUGXr2VwazenQWAz7FgPwklW945Pq7kGlLQJFJ6DEeJF5ZCPLXTcyaq+6G7QzrDsmH2+uGKhWnd6yZQsej4eYmBji4+N5est7eKQmFLcPz469+Xsfq3iU/6TLDwhHH2SGqjw4vAIEEcY9daZnrtGcNaccCD3++OOMGzeOdevWUV9fT1NT03deP9fEiRN56qmnmD79++tZzJ07l+uuu46rr76a7t2788Ybb2CxWHj33XdPvic3N5cDBw78zysiIoLIyEgyMjKIjo7GaDQyadIkcnNzf3A8DoeD1tbW77w0mn/zCw6lb4p6v+K4zkBrQjyusjLq31SPDwZdMxqb4qLUqR6RydsqMQ4IB6BtTTmJ8WpH+f7mdqyiwsJDC4kd7o3BpEMR1AyyXkeyyPbrzvAWtXfUO5U23MEh+M2aCUDdyy9zecrlmHVmjggOtplNzJC2sHjdjt9uITRnxta5oHjIiUphS/N+FBmKq8YC4I71ZlRVM2kzpnHMJ4hRe9X/f2+KTOeawfF4G3U0NzeTna1mHo4aNQqby8aK4wsByPSfSajV53sfa9tdhau6A9GiwzpaLf/ALrWtBz2mQ0jKGZy0RnN2nXIg9MYbb7BgwQJ27drF8uXLWbZs2Xdep4PT6SQrK4sxY/6zJSuKImPGjDlZMv6n9OvXj9raWpqampBlmc2bN5OS8sPf1M888wy+vr4nX9HR0b96Hppzy4RLLsPksoMgsCMzA4CG+e/gKCrCJ9iLPoOMHLZ7cCsySR6RrfVtCCYd7poOvCp64ePTG0FxckmoL53uTt4veofeY2MQ9dEYLHEIsocuBfsQq00EKnU0KRY+KD1G0HXXIZjN2Pflod+5j4uSLgLgtZBI9IKHmPwFlDV2nM2l0fwazWUouR8B8JyxDYAerjRqOsJQ9AJStBczaWWzNZi0/EMENzfSpjdzNKYHVw6KA9SrBrIsEx8fT1xcHM9sewuP0IbiDOTp0dd+72M9Nhct3x4HwGdcLJKXHtrrYP9n6hsGfP8ukkZzrjjlQMjpdDJo0KDTOZb/UV9fj8fjITT0u2faoaGhVFdX/6zPodPp+Pvf/86wYcNIS0uja9euTJ48+Qff/8ADD9DS0nLyVVZW9qvmoDn3SDo9EydOAkWmGZGK0SPB5aLmqadRFIX0mUPRG9opsKu7QpGHm6FfCABt60pJiFWbEnfX1REgySzJX0JQpoDJWw9SfwBSj2azx9qTUR1qx/DXSmtRAoPwv1RttVH/xhvM7j4bg2hgv+hir8nIJeI6Fm3I+Y1XQ/NrKYpCefkaKj6fgiC72RlgZr8sgixQVKX+EuiOszKprIWBl07i46pGxu5SiyJuiezFpUO74mvW09TUdHK3e+TIkbQ4WvjquHrMlul3KeG+318ypPXbEpRON/pwL7wy1d1L9r4LHidEZkBUxpldAI3mLDvlQGjOnDl89NFHp3MsZ8zEiRPZv38/Bw4cYO7cuT/6XqPRiI+Pz3deGs3/12vIMIINagbNnsBAZL0e2/bttK1di94gMWBKDMccMnZZJhyRrccaEL30uBvsmEoSCfAfDHiYHe6PW3Hz+uFX6TM+FlEXicGSgCDLdCnIw7/KgY/STLXsxZKqKgKvvhrBaMS+Lw/vvCKmd1WPlF8PisBLcGDZ9x6Nth9viqz5fZBlmSNHclj59TSKDlxPWGUxAK9Y1V/8Upy9qOsMQdGLGCLMzDLaea+yCdneyfBsNWFke3w/rhmiXmzeunUrsiyTmJhITEwMz+98G1noRHaE8fiY72+s6ihqxrbrRLr8lEQ1Xd7tgL3vqG8YoPWL1Jz7TjkQstvtzJ07l+HDh3Pbbbdx1113fed1OgQFBSFJEjU1Nd/5+5qaGsLCwk7LMzSaU3XBFVcieDw4RImj06cCUPvMP5A7O0ka1YtA32YO22UAUis76ewVBEDrulLiT+wKxQk1hOoUVpesRp/admJXSL0r1D0/hx26voxxqZf7Xyw+jhgYiN9F6pFY/etvcHXq1UiCxB69h0MGPZcLq/hk25HfdB00v1xVVRUffPA4BYVXYzYfJKrCjiRDnl80+0QZRREoqh4NgDvemwtK2+gzayzzy+sYnLsXs9NOlSWAgdNGEeBloLW19eRu0LBhw2i2N/NliZqC39t6MdH+/7sbJDs9NH5eAIBXZhjGhBO9IQ8shfYasIZD92lnfjE0mrPslAOhvLw8evfujSiKHDhwgJycnJOvH7uM/EsYDAb69u3LunXrTv6dLMusW7eOgQMHnpZn/JBXX32V7t27069fvzP6HM0fV1hMLF3C1d/eDyjgjorEVVlJw9vzEUSBwZf1ocyp0OaR8UVkz5EaRB8DnmYHuiMhBAWNAWSuilCrQr956A16j4lG1EVgsMQjyDKRx/OJq6jFotgocZlZW99M4LXXgF5Px+7d+OfXMCF+AgDzA8MIENpp2bkQh9tztpZF8yOcTifffPMuW7bOIir6QyyWNkSXL3E1AgAfxKpNU5PsvanvDEYxiFjCTVxs8bCouolmt4cp2zYDsC0ugznDEgDYvn07Ho+H2NhYYmNjeXnvfDzY8djDeWjERd87ltbVJXga7Uh+RnwnnUiXVxTY8Yr658zrtJ5imj+FUw6ENmzY8IOv9evX/+zP097eTm5u7sngqbi4mNzcXEpL1V43d911F2+//Tbvv/8+hw8f5qabbsJms3H11Vef6tB/lltuuYVDhw6xZ8+eM/oczR/bjCuvQvK4kSUd2SPUop0N77yDq6KCiLQ44qKaOdSp7gplNHpoTFJ/627bWEZ89F8ACFfKidQrbCzfiJjagtFLB6IagKfm57BTHsBwWf2emleUjz48HL/zzwdO7Ar1UL8X1plEynUSF7u/ZEVO+W+2BpqfJz//AEuXXoak+zuBgeUoikBQ0DSGGi9AdNooC+rCt62HURSB4zUndoPivLm8uJOeM0fwRlkt/i3N9Cw4AEDohdPxsxiw2Wwn6wYNHTqUhs4Glh5T7wYlGS6ge7jf/4zFWd5G+/ZKAPwv6Kr2EwMo2gg1B0Bvgb5n9mesRvN7cdYLKu7du5f09HTS09MBNfBJT0/nkUceAWDmzJk8//zzPPLII/Tu3Zvc3FxWr179PxeoNZqzwezlTb9eaQCUONw4+2eiOBzUPP88AANmD6fG7aHhRJHFg4fq1F2hVidivj8hIWrbhCvDT+wKHXmd3qOjEfVRGCyxCB4PPpUV9KguRFQ87OkwcqCtg8Dr5oAoYtuyhZhKNwPDByKjsMAvkASxmgMbP0NRlLOzKJqTFEWhpKSExZ/8jfyCywgOyUYQFMzmwQwc8C29uj6CbqdaemF+VDIyMl3svWnoDEIxiPiFmpgqOVlS30KN082kLduQFJnCgBhmzRgMwM6dO3G5XISHh5OYmMjLWW/gwYGnM5L7hl3wvWNq+Vq9j2TpHYypq/9/Pvjv3aD0y8EScGYXR6P5nfhF9dJnzJjBggUL8PHxYcaMGT/63qVLl/6szzlixIif/IF96623cuutt/7scWo0v6VxMy4ke/+jOCWJHV3iGb5nL22rVtNx6aUE9OtHSnIHhwqsDLWK9Lcp1KR5EbzfSdvGMuJuuo3a2lWEKOXEGCxsq9jGnJFNGNbo6HT1A46TejSbA2EjyVR2sFMYwitFR3mjVzo+k8+jdcWXNLz5Blc/cDU7qnbwhdWL2xpFJrQuYWvhlQztGny2l+dPqaysjJycHEpK8ggO2UBISAkAiuJH9+5PExGuHmey7gmwt1AfksyKlkMoikD5f+0GXVPspMeVg7ntUAkoCkNO1A6SR4zBx6THbrefrLQ/dOhQKm2VLD/2OQCRygUM+J5mvPb8JhxFLSAJ+IyP+88Hag9D4VpA0C5Ja/5UftGOkK+vL4IgnPzzj73+6LQ7QpqfSxRFRo0YAUC1S8Y2VS3PUP3MMyiyTOYVo2mVHdS4ZHSCwLGjjYheejxNDsQCX0JDpwAwO1y9TD3/6FukjYxC1EWjN0ciuN3I9Z30b1RT479qlKl2uAi6/noA2tasJb09kG7+3bDj4TOrlYHSIdat1yqo/9aqq6tZtGgR77zzDqWlS0nq9hEhISUoikBI8CWMGL7pP0FQWw3sfB2A92J748ZNgr0X9Z1BKHqRoBAT45wdbHQ4KexwEFNQSVKNWv152PVqk93du3fjcDgIDg4mOTmZedmvIOPGbevCLQMmIQgCHR755PgU+T+7Qd6DI9D5m/4z+H/vBqVMhoCEM7xSGs3vxy/aEXrvvfe+98/noltuuYVbbrmF1tbWcyKw05xZ/UeMYuvWbbQDW016JlqtOA4dpuWLFfhNP59eGXA420OoXiTTAeWxZiIKXLRtKCP2hpuoqfmSILmUSL2FbZXbuH5EG4Z1OuyuDKCCnkf2UhWQSlLgYfKFFN4qKeKRbt2wjhtH27ff0vDmW1x242U8sv0RFgcEcVVLCz3LF1FcP434oO+vH6M5vXJycliz5mMCgwpJTy/D29oIgJdXN7qn/AMfn7Tv/gdb54Krg7bIPnxSn4WiCFTVjgLU3aArj3vocnEmj5TVgqwwass2RBSaE7uTEheN0+lk586dAAwZMoTClkK+Ll4JgKV9Cv27BXPv0TI2NbaxMTMZsyTSkV2Du6YDwaTDZ8R/FYttr4O8EwUUB2q775o/l7N+R0ijORcIgsB5U9UU+mZFouECNe247sUXkTs6SJ81CjudVDplREGgsrgZwazDXd+JVOxPSIjat2z2iQyy9wrn03NEFKI+Ab0pGNFhp7bFi2HtWwH4oKoFm8dD0I03ANC6ahVjDb0IMAVQg4t1FjNTxB18vlG77H+m2Ww2Vq1ayd69z5DeZxlxcfvwtjYiCDri424js9/y/w2C2mshawEAi+L64cBBvCOVug61bpBPqInRzc0c8dGzo9mGvrqT/sfUC9FxF6lfW1lZWXR0dODv709qaiovZL2AgoKrtScpiekMzzrCwsoGjtudrG1oRXZ6aPnmRAXpUdGIlv/KCNv7LngcENEHovuf8TXTaH5PflUg9Pnnn3PxxRczYMAA+vTp852XRvNnk9KrNwFmIwgC29vb0UVG4q6poeG99zB6Gegz1IsjdrUha4ZbpCJUPZZo21BGXOwtAITK5YTrYWP5Rix9O9EZJBD7ApB6JAtjlUSoUkWbYmBxZS2m7t3xGjQIZJn2Dz7mwqQLAXg/KByD4MF7/0Ja7a6zsyDnuMbGRj777DNefPEZOjqfJiExC1GU8fPNJCX5GYYM3kZCwh2IouF//+Mdr4LbjiuyLx9Wb0dRFOrrRgDgjvXiinIPXS7uy5sndoMS9h8nuakURRAJPm8ibreb7dvVpquDBw9md81utlZsRVFEHPXjWesl0+qW6eltZnl6F6aE+NG+uRy5zYkUYMJ7UMR/xuJ2wJ756p8H3gInrj9oNH8WpxwIvfzyy1x99dWEhoaSk5NDZmYmgYGBFBUVMXHixNM5Ro3mD2PyDDVLp10yUDFF/T5oeOdd3HV1pM0Yiqxrp9ylJgfUlLUiGERcVTZ0FSEEB48HFC4/cVdowbF3SBkUjmhIRmf0Q9/RTkFbLKNPFFh8/XgZHkUhcI7aQ6p5yRIuCp2ATtCxX3Jz0KDnYr5lyc7C33gVzn379+/njTfe4PDhfaSkrMPPrwZBMJHc7Sn69PmIiIiLMRiCvv8/7myCPWrl5pVdh9MitxDt7EZVeySKJGAJNzOuqomWaF++rGtGquggM38vAKaMDHTBwRw4cIC2tja8vb1J65XGc3v/BYCraQDuwGhCrEbmdotmdUYSA/y88bQ6aNukllTwnRCHoPuvH/0HloCtFqwRWgFFzZ/SKQdCr732Gm+99Rbz5s3DYDBw7733smbNGm6//XZaWlpO5xjPCu2ytOZUJHRNItTXCoLArpoaDL16onR0UPfaa+gMEv3GhXD0xK5QukekMtgIqLtCsTHqMVekUoGfJLOudB0BmeplbMTeACQdO0hcVQ1eShvlLgPf1LdgGTgQY/cUlM5OpOVrGBc3DoAP/EMJFNqo2/4Bsqyl0p8O7e3tLFmyhCVLluB02klPz8LXrxZJ8qZfxmdERl5yMqHkB+1+G5xtKCHdeatyFwCdDcMB8ER7MatSpsv5PVlQUY/Ho2ApaWd4eS4A/lPOQ1GUk7tBAwYMYN7h5RQ0HUXxmHDWj+bizBh29E/h0ohApBNjaVldguKSMcRYMff8rwBNUWDHa+qftQKKmj+pUw6ESktLTzZdNZvNtLWp3ZKvuOIKPv7449MzurNIK6ioOVXTLrwYFIVOo4XiYWqtl+ZPP8NRXEzyxEwkQytlTjUwqa+ygU7AebwVU2Mc/n4DAA9XRISjoLC4aiGJfUKQjKlIOjPmxloOtvZklKLuCr1ZUoIgCAReo+4KNX3wIZfEq7tSa7z0NIkiU+xfsq2w7rdfiHOIoijk5OTwyiuvsH//PkJCjjF02BosXvmIooFeaW9htXb/6U/ktJ3MFNudNp0yVxmhrmhKWhJRBJCiLZxX2oShZzgfVjUgldsIry4nsbUSdDp8xo1jec5+amtrEfR6XtJbeSdPDWSc9SOJDw7l+f6JeOmkk490FLXQkV0LgO/khO8GasWboWb/iQKKV5229dJo/khOORAKCwujsVHNioiJiTmZvVBcXKwVctP8qUVERxMZpBaj21NWjmnYMPB4qHvpZSRJpN/4cI46PMiKQk9ZpDboxK7QpnJiY9VdoS5iFRZRYWXRSqKGmhEEA4KuJwDBpdX0bjiEoHjY1Q7HOuz4TBiPPiICT1MTsTuOkxKQglPx8LnVlxSxlB0bvz47i3EOcDqdLF++nC+++AKjsYTM/t/QLXk7UIte709q6iv4+//MC8Y5i6CzEfzjmFe9DwCxcQQAnggL0+sU4ofHs6y2mUaHG2OJjRHlatkEr6FDeaLOxteb1BYbOaGx7K1ejeRpQHH74mwaxA2D478T6Cgemabl6tGoV2YYxpj/10T63ynzvS/TCihq/rROORAaNWoUK1asAODqq6/mzjvvZOzYscycOZPp06eftgFqNH9EU07sCjlMXuT3SQNBoG31ajr37ydpXD8MxuaTd4Uq62wggP1II1ZnH7y9u6PIdi4JC8OjeFjW/DGR3fyQjL0RBAn/skIqGuPphfoP5AcV1Qg6Hf6XXw5A0wcfcEk3tc7MpwFBeIDksk+obrGflbX4IyspKWH+/Pns37+XpG7bSOu1BqOxHp3Ojy6J9zJo4CaCg0b/vE/mccOOeQAU9bmMfe15BHtCyW/sgQIosd5cVNxO8PAuzC+vQ6y1I3e4GF2ZC8BnvTNZeiifyJZ6FEEgqEc3Atu/BMBRNwqr0czUXpHfeWT71grctR2IXjp8J8R9dzx1R6HgW7QCipo/u1MOhN566y0eeughQD1Gevfdd0lJSeGJJ57g9ddfP20D1Gj+iMLCw4kOVas6ZxUXY5miFlmse+EFREmk38QoCk7cFertkWg4sSvUvrmC2JjrAEgz1KMXFJYXLidxqD+C6I3OlAyAvULPYLt6T2RxZR0OWcbvwgsQLBYcBQWMqAvC1+hLNQ62mM1MEHfxxdac33oZ/rCqqqr46KOPWLBgAS0tRaT3WUNoaBEgEhl5OYMGriM29gZ0ul9Qo+nwF9BcCpYgXmkuBwFMTerdIDnMzIRWiEryY6+tk8M2O4bj7SQ3lRLS3kCn0ci82GT6luUD0DstjQxLFg53C0YlFFdzBhf2jcJs+M+RmMfmonVdGQC+kxK+my4PauYaQLdJEJh4ymul0fzRnVIg5Ha7eeqpp6iurj75d7NmzeLll1/mtttuw2D4nnRRjeZPZsoFF4Gi4DR7czAxFvR6bNt3YNu5ky5j+qEzNlN5YleotKkDgI59tQToR2MyRaN42jg/JASHx8EG4Uv8wywIOrU0RUThAazVbvyVBpplPavrWpB8fPA7X836af9wMdO7qDuzHwSqqfRK9vu4/6vKsOZ/1dTUsGjRIt58803y848SElJMv8xvsVga0OsD6dPnI5K7PY5e7/fLPrGiwLaXAGjqM5sNDVsIlgM4XNcbADnemyuLOomalsrCygaEZic0OxleoQav23v1Y6BFT1x9FQBp/dJYcHABAM0VoxAEidkD477zyPatFShOD/pwLyx9Qr47Hls97FMbszJIK6Co+XM7pUBIp9Pxz3/+E7fbfbrH87uhZY1pfq2Q0FBiw8MAyC08huVEf77aF15AECBjXAQFDg8AvdwirQFGkKFjRw0xMerl50EWGyIKi/MXkzIiFFEXjN4chyDLHK+OZZiyAYD3SksA8L/8CgDaN27kArOazLBH76ZcJzHV/Q2bDlf9ZvP/I1EUhT179vDWW29RUFCA3uBgwMC9dEveiiDYsFpTyey3HH+/U/x5ULIFqvaB3sJbioxbcOPdMgQFEU+QkbHtAuE+EkcUN8tqmtAdb0dQZAZXq53mZ86excUNpQAkJyeztGopNpcNHzEOd1tPxqaEfqeCuNzhOtld3md0zP9msmUtUAsohveGmIGnNieN5hxxykdjo0ePZtOmTadzLL8rWtaY5nQ4b/oMdVfIy4cDYYEIZjP2fXm0r19P13GZKPoWalwyIgJFbZ0A2PZUE+Y/Hb0+AMFdz+hAf9qcbezz34zZqgcpHYCI/KOk1ucjKDI72wWKOhwYE+LxGjYUFAXzio0MCB+AAnziG0iE0MjBLT+vGfKficvlYsmSJaxcuRKPx0PXromMGXMMvf4IgmAgIf5OMvp+hskU8dOf7IfsfEN9VtpMllV8gz9GDtWqQZUnzptri5zkDI1mXFY+crsLsbqTrs3lBNuaES0WdGk92b9/PwApGSksPqLu5tSXjQZErhv23d5gbVsrUBwe9GEWTN3/X+NVj+tkHSMG3KQVUNT86Z1yIDRx4kTuv/9+7r77bj7++GNWrFjxnZdGo1F3hWL+vSt07BjmWTMBqHvxJQQB+o4OId+uHlf1cAo4rHoUhwd7dgvRUbMBGO8LoPBB/kJShoYj6uLUthudHdTVRNKLbADeL1d3AAKuUHeFmpcs5eJote3HCl9fXED3yqXapen/YrPZeP/99zlw4ACiKDJu3DgGDW6nvT0LUTTTL2Mp8fG3fn916J+rsQiOqll7i62R2AQb4R0ZuGU9slXPaIeIxdHJ7a2NeBTQFbQiAJc71QarXsOHsSc3F1mWiY+PZ2ntUpyykzBDDxytXegV7UdGrP/Jx8kdLtq3qV8L1tExCOL/C3QOr4C2SvAKhh5aYotGc8qB0M0330xNTQ1z587lsssu4/zzzz/50rLGNJr/mDjtfABcXr4c8DEjWq04CgpoW72abpMG4tI10+CW0QsCx5xqO4z2bRVEhl+OKJrRuSrp62OltqOWmtgjSJKIIvYCwJDfxhD7NgAWVzVg98h4DR6MITYWub2d9KxmAkwBNCoONlrMjBRz+Hpb1llZh9+bmpoa5s+fT3l5OSaTiSuuuILuPYwUF78IQLekR7FaU379g3a9BSgoiWNYePxbvAQ4WjMUAE+MF3OKXLzdxRu9AEKzE6nWjohCvzI1vd48ahTZ2WqwG58Wz/LC5QDUl44GBK4b+t2U+da1pSd3g8w9vqe69a431f+bcQ3ojL9+fhrNH9wpB0KyLP/gy+PxnM4xajR/aOHh4USHhYIgsK+gEPNllwBQN+8VREUmfYjPyV2heLuMxyjhaXbgzncTHq4WR5wRZAXgo9KFJPYNQTKkIOnMmOqq8al2EKDU0yLr+Lq+BUEU8b/sMgBaPv6E6YnnA7AoMAJJUPBka5Wmc3Nzefvtt2lqasLPz4/Zs6fhcL5LdvYlKIqbkJBJhIdf+OsfZG+FnA8B2Bg1kGqq6eLqSrPdD0UvMFTUE9Hu5HiyH/19vdDnq1X550QD5WUIej3FQUHY7Xb8/f1Z1bYKWZFJ8R1AU1MEIVYjE3qEnXycq66D9p3qPTDf8xL+dzeoMgfKdoGoVwMhjUZzaoGQLMu8++67TJ48mdTUVHr27Mm0adNYuHChVkxRo/ke485T0+edVj8OeRmR/PxwFhfT8uVXpEwdThutNLsVzILIcVENitq3VRITfRUg4OU6RqRBx+HGwxh6tSEIegR9dwSgsTSEkcpaAN4rO5EuPWM6osWC89gxpjWr90eydC7KdRITXWvYUVj7Wy/BWed0NlBcvJYPP/yQ5cuX43a76dHDxdBh+zhydBoVFR+hKB6CgsaQkvz3n26V8XPkfAjONghK4rWynRgEhfIGte6QJ9KL60tclHXx5c1e8ewsakRscqKXRGY5igGwDBrE3n3qzlBiz0S+LlGP2JRGtY3KBX2j0En/+THesrIYZAVTcgCmrv78j383V+1xPljD/vfjGs2f0C8OhBRFYerUqcyZM4eKigp69uxJjx49KCkp4aqrrjpnjsW0rDHN6RQdHU1oYAAIIjkHD2KZrd7jqX/tNSQJeveTKDyRQRbQ4UER1bYbusYggk4U7Ls8Qv2Ha2nrR4TE+SDqewEC3keL6dl8GFHxsKdN5qjNjuTtje+J70Xd0m8ZED4AgE99AogS6jmw5YvfeAV+W21tbaxYsYKDBw8C0NySxZatoykqvgFbx1eIosjw4SIBgYtpbt6Monjw9e1Ln/SP6ZX2Jjqd9ZSeu6fFxvPF1Vx7oJjr8gpwnejjdSBxMkflfFLFQEoa41CADIuBpDaZYTNS+LiqEaFEbVM0s18UbFWzAdsHDaS6uhqdTsd2tiMrMgPChrK3wALAxRnRJ59tL2zCfqQRRAHf8+L/d3D2Fjhw4rJ8xrWnND+N5lz0iwOhBQsWsHnzZtatW0dOTg4ff/wxixcvZt++faxdu5b169ezcOHCMzHW35SWNaY53cZMULvRO3wCOGKSkAICcJWV0fr116ReMIZ6TwcdsoKfIFJjVr8127dXEhOtHmFEyCVYRIWNZRuJHGBGlPzQmxMRZA+tVcGko979+bBC3e3xv1Q9gmvfuJGL/UYB6qVpNxB1fBltdtdvOPvfTl1dHfPnzyc7O5vPP/+M7JxXyMq6DFADjcTEbC65NBEENfMqImIWA/p/S0bfT/H3zzylZ+5v6+CSfceYkl3A8yXVrKxrQTj8JfrWMpwmf+6rOIYgyLQ0jgVADjFxa5mMO9iI7G/k/fwqpDoHAnBNjIjj0GGQJPZLaoHE+OR4VpavBCBMnoqiQGZ8wMmUeUVWaFlVAoD3gHD0wZb/HWTep+DqgOBkiBlwSvPUaM5FvzgQ+vjjj3nwwQcZOXLk/3xs1KhR3H///SxatOi0DE6jOZd06dIFfx8riBJZeXl4nQhU6t98C73FQGpqJ8ccJwoe2pwAdOyrw6rrjdW7B4ri5JLwKBQUthhXnkilT1Pfv6+ToS61nMXiqhrsHhljYiKWzEyQZXpuq8Lf6E8DTraazYwR9rA2++hvvgZnWmFhIe+88w4tLU2EhFTQO/0rmppeAFzU10eB0hNB8FBa+giy7CAgYCjJ3Z7Ey+vUKisrisIrx2sYvzefDY1t6ASYHuLHYwnh3FX1OQCvBoylSjxAqsFAXrV6yT3ZV09ym0zw2Hi+qmuhtUC9GzS2RyjeW9RjTs/w4RwuVPuEHfU+iqzIDIscxoY8NYNtVr//7AZ17q/HVdGOYJSwjvrP3//XQGHve+qf+16tpcxrNP/lFwdCeXl5TJgw4Qc/PnHiRPadONPWaDT/IQgCY8er3zudvkHkWQyIVivOY8doW7OWtIvHUO5w4FIUwpBoNUvgUejYXUPUiVT6noZGRBS+KF5O1wHBiLpYTN7RiK0tmI6JBCp1tMl6llaoqdf/3hVqXbqMabHnAfCxfwhGwUX9zsVnYRXODKfTycqVK1m8+B3CwrcxcNByuiWvx9u7CbdbT0lxb1zOaxky5B2MRvWI0WAIonv35xGEU8sZsXk8XH/wOE8VVSEDU4L92No/hdd7xHEjRSQ3H8QpGliPhEtyIrSNRJZFZKueu6tF3HoBc/cAXs6vRKpUK4vfMCSe1hVq/7Aj3dWMtdjEWL6sU/+up/cMyps6sRp1TEwNB0Bxy7R8WwKAdVgUkvf3pPqX7Ybag6AzQa+ZpzRfjeZc9Yt/AjQ2NhIaGvqDHw8NDaWpqelXDUqjOVeldO9OdGgICAJ7j5VgPFFXqP7NNzAH+NA1oYGSE7tCjs4TqfTbKwi2TkSvDwB3AyMCAmhztVERexBRFJCFYQiCgHOXnYH2nQC8dewQiqJgHT0aKTgIT109UyvVAGCnESp0Ev2av6a0oeMsrMLp1dzczPz589m7dyfde2wgOvoQOp0Nvd6fyMg5VFbcgqJM5IILLsJoDCSt5+sEBAylZ+qrGA3fk17+M9g8Hi7PK+LLumb0gsCzSVG81SOWOPOJdPTtLwPgTplBvZhHmklhd6WaMh/tJ9CjTcHaP4JNLTYKD9YjKNArxo+UxhJcFRXYAwM51NgIQF1YHW7ZTZ+QPny+XQfAVYPjTvYVs+2pxtNgR/TW4z0kku+180RfsR4zwPw9l6g1mj+xXxwIeTwedDrdD35ckqRzuvWGRvNrCILArCtmI8kePHoDG/SS2ij10GEaFy6k94VDKHC4scsKwYi0CgqyzU37mkoiItSgabyf2jzz08pFxKUFIepCCY7pj2TvJCSnHlHxcIQYNhSsRtDr8btQTQM3LFvLwPCByCjM8/ent3iML9euP2trcTpUVlYyf/58amtrSEnJxte3Dp3OSs/U1xgyeDvJ3R7gqqtu5dprr8VsNgPg45NGeu8F+PllnNIzOzwyV+YVs6PZhrck8lnvRK6MDPpPlllV3okCigLvE4LT0Iq/YzBOux5FL/JAsxkF8B0SwdyjlUil7QDcMaorLV+oxWiPjRyJLMtExUSxtE694JxsnkZhbTu+Zj1zhqqZgLLTQ+s6tfWGz+gYRKPE/yjZCoe+AEGEgbec0pw1mnPZD0c0P0BRFK666iqMxv9j76zD6yjTPnzPzHGNu6eRNpU0beoGVIBSfLHFF11Ydpfd/RaWb90Fdr+F4i7FaUuRulFNLfVGGnc5SU6Oy8z3x4QAuxR35r6uXElzJjPvvDk955dHfs/7G3EFg8FPvSgNjW8yVpuNKWNL2HroGI29fUy/4Tqid/2LrjvvImdiOVlJ7ezvzWCyTYdVBgTwVnSQPPpcmoQHMYYbyDE6qOmrwTjWB/vB6ynDYD5A3IHjFJVVc9Q0krua+zm5EGIvuIDehx/Bt3s3P7z4DraznddtFq4Y0JN6+AFa+k4mI/Z9imu/wtTV1bFjxw6qq6sBheLieuITjgEio0vuJj5+5vCxn0kbPBBVFJZ39XNXQwe1viBWSeTZcfmUO/9jAv3mvwMQLlrES65tnJQYZcUhtVA+OV6itENBPzqBA0KUffs60MkwNjOGWblOaleuxG8yccygB1nGn+nH2+Yl3zmC13Y6gQA3zM7HaVbFsGdrG7InjBRnwlr+Pu3wchTevE39esKVkDL6M9kLDY1vEh87InTFFVeQlJSE0+l834+kpCQuv/zyz2OtGhrfGE4++zyMcgQEgdUtjVjnzoVwmNZbb6XsrHF0RcK0hGQkQaAfNVXmfb2PxHi1xuiqZBMCCi96HydzVByybMJkH4MAlB4/hKBE2S2OZHN3N/rUVOIuvRQA033PsTBLPcedcbGcJbzF86+t/FL24JOgKApr167lySefpLq6GlGMUF5+mMQk1V27oOAX7xFBnwXeSJRHW7qZufMY3z/SSK0vSJxeYsnYvP8WQZ1H1BEWCCwRRhC1dhD0nkLQZ0DRi/zKY0EB4k/N4c4jrUgtXgDuOK0Yz+o1yG43VRMmEJFlktOSWdK1BIAS61m09gVItBu5cloOoI7SGNw05Bs1LxtB9z4v53ufgM6DYHLCSf/7me6LhsY3hY8dEXrsscc+j3V85Vi8eDGLFy/WXLI1PhcknZ45c+exav0GeqNQWzqSzCOHCTc1IVZsY/LEePbsiSdVLxAjiIQlATp9ZCk30yttwBntYqbdxOb2rZx90nfQHdcR8BYAO0nfdpjZRbFs1M3l50dreSs+gYQbb2Bg2TJCtce5rv50Vuv17DRDhdlAafW/qe2az4gk25e9LR9INBplxYoVVFZWAjBhQgkJCU/h8x9GECRGjLidzIwrP9Nrru4Z4EfHmnCF1deBGJ3EDZmJfC8jEbvufdJQQ9Gg4IjTeM61g5PTojy1X22Zz4iTKO1U0I2Ko9+h563drYgKlOXFMTkvnoZfPIPPbKYmMwOA9pR2PH0eSuJLOFCVBwxy7czc4dqgwU0tKIEo+hQr5nGJ77NhYZSNf0EAOOkOsMb/9zEaGhqffMTGNx3NR0jj86Z82nSMej2K3kDFjm3or7oCgL4lzzLukjOIt7XQElKd2jsV9Y04cjBCft5PATgrJkqMJPPPqr8x8cxMBCkRUZeIEI1Q3l2JVRmkPmpmSXsvksNBwg9uVs/x4FNckLEIgKV2O6dI+3jz9Ze/6Nv/WHR2dvLII49QWVmJIAgsWnQaGRkr8PkPo9PFUDruMbIyr/rM0mBBWebPde1cfrAeVzhKrtnAnwrS2TN1FD/KSXl/EdTXCIeXArBMHEW/rZm2wdMI+3UoepHfu80oKCScnsfTjV0I7Wqh+h0LivAfOoy/spIjY0YjAwlpCSx1qee6IPcHHGwZRC8JnFemiqSoO4RnmzpY1bEg+79HaQDhbUsRPJ1EiSU68rLPZF80NL6JaEJIQ+NLQqfTUT55MgDh2CSOBz1IiQlEurrwrFvHKddNoimk+gklDwUm/UddpMZehNM5AYkw58fraPO2sT32DRKz7Ij6EgDE43rO4UUAHm3pBNRaIX12FtH+fhY2xQGw0WYnIAiMa3iUQPirF/3s6elh5cqVPPDAA7S1tWE0GrnggjMxmZ7H1bcVSbIwvvQx4uKmfybXaw+G+HVtK+O3Heb/GtV9+156ApsmFXN1RiLW9xNAb7PnMUAhmj2TZ117mGaLsLFpFgDZDoVCPwg5TqR4E0/sakKQITnBQllWLH1LluC1WKjPVR2h9zv2gwCL8haxt8YBwPySFOJtam2me30TSljGkO3AVBw3vARFUQgc76f36SNEVj8IgE8+hVBb4DPZHw2NbyKaENLQ+BKZOHEiAhC1Oji4Yxv2Cy4AwPXkkzhGFBEb00h/REEviAzogKhCYH8PBSN+AUCJKYhZUHjq6FPkT05AMhQDItFDXUzw70FSwhzzhanyBhB0OmKGxm44NlSSak3FT5QtZhNTOciW/V8dg0Wfz8eSJUu455572LFjB7IsU1yczKmntdHReSkdncsRBInRo+/G4Rj7mVyzwR/k9D01PNDcjSscJcWg5/5R2fyxMAOD+CEvleEA7FUd9SudU2m21mOJjCUwaECRBH7qMwEQf0oWewe89B4fGq46NZtofz/u11+npqAAWRBITE9kR3AHelHP9WNuZvk+NfJzyaQsACK9frwVHQA4F+SArBCs66f/zXo679xDz0MHCR6qwiSqTuOWq27F/C6xpKGh8V40IaSh8SUSExNDQWEhAF6znfbMVASDgcDBg/grKymZk0VDSI3UyJGhoum9XTgc47BaCxCUMCfHOfBFfLQkH0bSWxH1uQgIuHuTGItqbrq8S/X2cpyhDn/17dzJmc4ZACxzJqMXonRXvPCF3vuJcLlcPPLII1RXVyMIAoWFhVx44RlkZ7+My/UGshzAYsljdMndJMTP+Uyu2eQPct6+WtqDYQosRp4ck8vuqaM4O/kjeu4cWQa+XhRHOg92NjDOFmJli5p+tDsVyvx6omYdpvwY/l3ZjOiNIOlELpqQiXvFCkLRKHWFBQB0J3UDMC97HhW1UQaDEbLiLEzNU2t83GubQFbQp1oZ3NxC22930P3gQTybWoj0+BEMErE5FQiCDFnTkHJLPpM90tD4pqIJIQ2NL5mJE1U/m3BMAvu3bsS+SBUrfU89TcZJJzOodBFWFGIRkQUIt3oId/hITT0PgJkONV3zWttyskfHIxlGARA8rGcqWwBY1tGDoigYMjIwT5gAisJJx9QW7B0mAZ8gkN+5Em/wy/MACwQCbN26lYceeoje3l4cDgfXX389F154Hl7f3/H56zEZ05g44SWmTF5NUtKCT33N3lCEO+s7OHVPNa3BMCMsRl4uHcH8BCe696m7OSEVD6nnyzmTg7pDjNLF0d2lRmEuDKkC1jE1FZ8is3m/Gs2ZXZKE3aRncO066nNzCUsSsXGxvDGoTpj/TuF3eG6X2hV2YXkmoigQ7vTiq1RnyYXbvQSOuVBCUUSrDsv4JOIuLiL1FxMxB99U11Wm1QZpaHwYmhDS0PiSGTFiBA6HAyQdnQODBGdMA8C9Zg1Rt5vikgAtQ2+mLtTiad/uDlKSz0YQJEyRNpJ1MhUdFSSNN6oRIdFEuMFHga8GvRKkLhDlsMcPgHNIaJnXV5BhyyBIlM0WMxM5xtZ9B7+EHYD9+/fzz3/+kzVr1uD3+0lNTeWaa65Br69hX+WlDAzsRpJsjBv3CE7n+M+kKPq1rn4m7TjC3xs6cIWjFFpMvFQ6giSj/uOdqH0/tO4GUc+THgPJ9gHWdagpTtEpcrknBgVwTEnl6eOdyB1qkfSPZuYTHRjAs2cPNUPRIGOeEX/UT64zFzuF7GnsQxIFvjNBLZLuW1bL0FMABLDNyiDplvGk3jGFuAuLsIxLQmzeDH31YLDDqLM+9T5paHzT0YSQhsaXjCiKw1GhUEwiR6oPYxozBsJhBpYupfisk2keKpqOHZrJ6qvswiDFEz+UGjorKQkFhd2GjZhtZkSdmm4b7EyhlL0ALOvqB8C+YAHo9QSPHuNcXbn6mDMVUVDoq3j+C7rrd9ixYwdLly4lGAySmJjImWeeyZVXfpea2huo3H8lAwN7EUUjY8fci81W+KmvJysK/6jv4JrDDXijMmNsZu4flc368iJSPq4IguHaoNCIBazx7GKqReJYqzrEdTI+JECX50RyGHl4awOCAumpNsZmxODZ/Bbtycl47HZMJhPrI6rT9/kF5/P8rhYATilOwukK0vXAfkL1bgAEs46E740h5vRcDGm293aNbb9b/Vx2ORj+w+dIQ0Pjv9CEkIbGV4CysjJEQUC22Di2by/Gs4bSYy+8gCk5nYT4BvojCpIgEBBB9kYIHHMNp8eKDf0IKKxoeJWC8iQko5oeC1TKw+mxpe3dKIqCLjYW2yy1m2nGQbX+aJdRxicIjOxZzWAg/IXcs6IobNiwgZUrVUPHKVOmcOONN1JWVkZ9w1/p79+JKJrJzLiSqVPWfiadYUFZ5qYjjfyjQU1PXZeRyJsTCjk7OfbjpcLeJuyHA2p33maxkKCjmYOus1EiAopZ5GcDqmN3zPR0Kl2DdNX2A/Djk0cA4NmwnuMjVNGUUZzB0YGjGEQD87MX8speVQid2hqk+/4DwyJISjCR8tOJmEbE/Pd62g9A3UYQJJhyw8e/Hw2NbyGaENLQ+Apgs9koHqlOGw864mjUCYhWK+HGJnw7d1IyK5vGofRYQB4qmt7dSUL8Sej1sYhRN2MsepoGm6DIjSClIkgxhLvC5Aw2Y1T8tIYV9g2qaZm302O6ddvJtmYSIspGi4Wx4nG279n3ud9vJBJh6dKlbNq0CYA5c+awYMECRFGkq2sVra1LAIFxYx+gsPCXmExpn/qa/eEIF+0/ztKufnQC3FWUye8K0j+ZAHqbI69CcADZmcmjXVVMt4XZ3jwJgDy9myRsKEYJU3Esf9hQixBVsDiNnFuShhIK0Vmxi44UdTRGha4CgIW5C9m8tot+f5gkBCYMREEaWqMACVeUIFlPELnaPjRcddRZEJP1ye9LQ+NbhCaETsDixYsZNWoU5eXlX/ZSNL4lTJgwAYCwM47KzeuxvV00/fwLpM05mUGlg4iiEDP03zZQ5ULxKCQlLQTg9ES1OHeD/w1iU6xIelVYedqSKGM3AMuH0mO2OXMQbTYi7e1cEByjPuZMBcC99/M1V3S73Tz55JMcOHAAQRA444wzmDNnDoIgMOg5xtFj6mys7KzrPpMoUG8owt/q25my4+jwoNRnxuZzSdpn4LS87ykAGuJn0Wyrxh08mYhXRJEEbnapNVm2CUl4ozJ7Dqi+ROdPzUIUBXy7d1OXnIQiiiSmJbKhdwMiImdsHM9zOxoBOENnJO70PEwFMQBYxiehTzzBXLiBVjj0kvr1tJs//b1paHxL0ITQCdCcpTW+aHJzc4mJiQFJx0BEZmCc2vY8uHYtEVcfRSN9tIXVStl+QQFFbaVPTTkbgBSlHYOgsKphFfnlCYiGYgB8u/1MUbYBsLStC1lREE0m7AvmA1C+X33D3m2M4hME8nrWfW7dYzU1Ndx///00NTVhNBq59NJLh+ujurpXsWfPd4hE3Dgc48jL+/GnulZ3KMzvatuYuP0IdzV00h+JMsJiZHlZAbPj7J/+ZnqPQ8NbKILIg/1hRjs9rG2eC0C82cNEKRsA68QU7tpRjxKMIpgkfj5NTYW5162nLk+dIt9kagBgxsB4dJ449hJFAK66eRKm4jgCVar9gX1O5onXs+9pkCOQNQ3SJ3z6+9PQ+JagCSENja8IoigOR4VCMYkcPrwfc1kZRCL0v/AixYvm0BJUi6at8lD32L4u7PZxmM05oASZHWNnMDxId0YtohSLIKUQ9Qiku9sxK166ogK7B9RBn85Fqs+NuHEnuWY1PbbJYqZMqGH7vgOf6b3Jssz69et55pln8Pl8JCcnc+2115Kbm0V392oOHLiBgwe/TzTqIzZ2GqXjHkUUP0Hh8hBre91M2XGUe5u78MsyY+1mHi7JYdOkYkps5s/mpoaiQZ7kyezW15EsFeDpUY0TL+ptQRJ0iIlmDGk2lu5W633GjkrEapBQFIWaffvwWa3oFVgdWQPAxZFF7CxXI1XlOXFkptjxvNUKCphGxqFPOkE0SFHgoFqrRJk29FpD4+OgCSENja8QpaWliKKIbLFRX30McdHpAPQ//zymlEyczjo8UdVpOgpEOn1EOnzDUaHZMeob8Rs9y0kriBlymoZAaywTUKObSztdAFjKy9ElJyO73Vzcp3ZjLRtKj/Xt+ezSYx6Ph6effprNmzcDqm/SNddcg8MBu/ecz4GDN9LdowqBjIwrKB33GHp9zCe+3ksdLq44WIc3qgqgp8fmsWpCIWckxSB9RrPIiITUCAzwJrk4YttZ33k2AmC0hjkNNXJjn5xKZWs/fV0+FAF+OD0PRVboe34rNTFOAAYN/USkKFPFMqZ9/yxWdqiu04vGpRJ1h/DuVVNq9tkZJ15P+37orQGdCYoXfjb3qKHxLUETQhoaXyHsdjtFRUUAhGMSqQt6kRISiHR3M7h2LSNnpNA8VDQ9iPrZV9lNypAQskWacUoy29q2kTbeimQoAgQ8u/1MHkqPLW/vIaooCJKEY6H6plm6T33z3T3UPZbTtQ5/6NPNHlMUhYMHD7J48WLq6urQ6/Wce+65nHHGGUQiXezecyGDg4fQ6ZxkZV3L5ElvUlT4K0RR94mu541E+XVtKzcfbSKqwPnJsbxeVsjceMdnNox1mOo3wduNbEnk+WAHEyx6mlpVETnR00isMQVFVGt6/v7WcQDMKRamhUW67q2k9ZU3aMlQhc1bSbsQEfnJwl/Q4g2xv7kfUYDTxqTi2doKUQVDtgNjjvPE63k7GlR4Kpgcn+29amh8w9GEkIbGV4yysjIAIo44Dr21Eft5aou865lnyDhlPr1R1SX67aJp//4uTMYMnM6JgMIZicnIiszRmJ1IBhuiLouoX0f6YCcWxYNLEdnZr6bHHAvViJOwo5J8YzqhIXPFCRxjx8Ejn2j99fX1vPnmmzzwwAO8/PLL+P1+kpOTueaaaxg7diy9ri3s3nMefn8DJlM65RNfpmDEbZ/KI2ijy83MimM80KyOp7g+I5F/j8xC/2k6wj6IPU8AUBU7jb6YBo54zoGQAnq4clD9vZhGxRPSi+w4rDpBz4m10XP/AcItHqpMPSiiiCgP4Da4ObfwXIriilhxQJ0rNn1EArGCiGd7OwD2WR8QDZKjcGgogjfmO5/P/WpofIPRhJCGxleM/Px87HY7ik6PR5DoHpENkoR/9x5CDc3k5vXQFVFrhEIoRAdCBOsHSElRXYTHm4MArGp7k5wxCcPpsWCDjXJ2AvBSq/rmbBo1Cn1GBkogwAUu1dtmhSMZUVDo2b30Y6999+7dPPHEE+zcuZOOjg5EUWTOnDlce+21JCbGUV3zByorryAU6sZqLWTChBewWHI/1X690OHiuwfqaAuGyTIZeGZsHr8tSEf8rKNAb9PXAMdV48MHfArTY3xUtKq1XelCFyNsqoeTfWoaS/Y2Ew3LyGaJy+sCIIC+2EhtqjrD7KDjKDa9jZtL1S6vFftVIXTG2FQ8W1pRQlH0qVZMoz5gaGrjVhhsB5MTCuZ9PvesofENRhNCGhpfMURRZNy4cQCEY+I5tHML9lNOAaD/hRcYuWACTUPpMVl5p2g6OWkhgmBAF+kgXa9wqPcQcaMlRMMIECTcldHh9NiKLhcRWUEQBBynqjO7xh1SPYYqTAIBQSC9fS3hqPyR1717925ee+01AEpKSjj//PP58Y9/zJw5c5AkkaNHf05z82MApKdfSvnEVzAZUz7xPoVlhbsbO7nlXamwjZOKOSX+c04N7X0KUBhMKueYrQ6dOIFQr/pSemFPO3rRAHYDuiQzD6+rBSAx3kyew0LSTaU0coSA2Ywh6KcqoY3rxl5HvDme2q5BjnUMopcE5ucl4NmmiiLHKVkfnNo7MDQsd9RZoDN+nneuofGNRBNCGhpfQcaPHw9A1Oqktb6O6ClzABhYvhxbzigk43FCsoJJGEqPHepBh52EBPW4M5KSAKg0b8VosSLqcon4daQMdmNT3AwKOtZ39gBDIzcAaUclWfpkAkTYajZRrhxib1XDh67V4/GwfPnyYRE0depUzj//fEaPHq1GthSF6prf09G5HEHQMWb0YoqLfoskfbLuLUVRWN7Vx+yKY/yxTk0dXZ+ppsIs0uf8khaNDBdJv0wmpfE9vN52BgJgMQWYbVBb400ZNnbcWUH7YBBFgAsy40j+QSmGDDt7alVxFPEfx2a0cWHRhQAs26cKn9mFiYh7u1GCUfQpFkyjPsDvKOiBw0ORu7EXvu8hkciXN0hXQ+PrgCaENDS+gsTHx5OVlQWCQNgZT21vJ/qsLGSPB/fKlRSPN9IaHnKaRkEJRPEfc5GSfDYAk2CQRAAAnitJREFURXp15MbK5jfIH584VDQNwSoLk9gBwGNH1SJe0+jR6NPSUHx+LhxQj1thT0IvRGnZeeL0mCzLVFRUcM8997Bvn+pGPX36dObPnz8cwYhGfRyruoOWlicBgVEj/05S0qmfeF+iisLtNa1cf7iROn+QeL2OvxVm8Jv8tM8vFfZuateApwPZHMdrtFNkiaWzRU1zTemvIt6UhgIEjrp4OhIAQEk08b3TRiLoJTpbW+nU6RBkmYOJDZxXcB4WvUUVd/tbAThnVIpaJA3YT8567xyx/+TIMgh5IC4Pst8xn/R6vezZs4clS5bwj3/8g2Aw+Llsh4bGNwFNCGlofEV5OyoUdiZwZMsG7OedC0Dfc8+Td/o82sJqKks/NI3ct6+LhIQ56HQOxOgARSaR2v5aLCMjiPo8EPQMHBIoV7YDsD0q4Pb5EQRhOCpUdlh9895ukQgB8c2rUBSF/6Sjo4OHH36YN954g0AgQGpqKldffTXz5s0bFkHuwUNU7DqTtjZ1kGth4a9JSTnzE+9HICpz3eEGHm/tQQB+nJ3MzikjuTw94bPvCjsRQwNWDzsnkZXcyLLuCxHCMqJe4Ty/ugZFUQjbdGwQ1EhMSXECCQa1E65i9WoAEjvbqMkIcXHxxeppm/podvmxGiSm9MsogSi6JDPm0QkfvJ6h6BTjL4WhPaisrORf//oXK1asoLq6mkAgQENDw2e5Cxoa3yg0IaSh8RVl1KhR6PV6FKMJfxS6s9JArydw8CCRdhfJCXW4o8qwN06gyoXiF0lKOg2A04ZGblQIG7A4rYi6PKIhifj+QZxKHwGdkXvfUkWRY8hlWretkjRdIj4i7DSbmBzdx6HGjvesq6WlhUcffZS2tjaMRiOnn3461157rRrBGqK/fzd7916Mz1eP0ZjC+NInycy47BPvRXMgxFn7ani9ewCDIHB/STY/z0vFppM+8Tk/Nu52qF4FwAOBKBPtCgda1EL0nHATuVZ1pIl1XCL7T80gGJZRTBJXl6odX5FIhEON6uiMYLiOk7JOIc2mzlB7Oy22cGQywR3q1/Y5mR8cDeqpgabtIIhERl9AS0sLy5cvZ9myZYTDYZKTkznppJO48cYbKSz85B15GhrfdDQhpKHxFcVoNDJyaBBrOCaeQzu24JindgX1v/QyxTOzhoumAygQVfAf7CE5WXWMzhJ7kFBY2bSSvNKE4fRY6Ih+OD32hstDdXU1prFj0aWkoPh8fGegAIA3bfGYhRDHty0H1EhHe3s7Tz/9NKFQiOzsbG6++WYmTZqEKL7zUtLXv4vK/VcNuURPZfKk1z/VzLC3XIMs2F3F/kE/sTqJJePyOCsp9hOf7xOzfwkoUQZjS/Al1rMrMA+lT93/hR1HcBjiQRKIPbeAhypUwSNkWDk9KQaAo0ePEgTMPh+HUjr57sjvAhCOyrx+UK11usRkQfZGkOJMWMYlfeBy5KEW/lZLCX++53Eefvjh4RTlnDlzuP7665k9ezbJyclfXMRMQ+NriCaENDS+wgx3jzniaKk6gnzSbAAGXnuNxEmzGJRbkRUFE+obnW9fF7ExkzAYkhBkP2MtEs2DzegK/Ij6HBAMuI8KlMnqpPOGxBReWv4qHq8X+5DImnA0DMAWmxkZCB7fxj//+U9+97vf8cADDxAIBMjIyOCSSy7Bbn9nZpeiRGlsfJDKyiuIRn3Exc5g3NiHP5VL9NLOPi45UIcrHGWs3cyqiYXMiP0M5oR9XGR5qFsMXginUxbjZk3LyQDEGAYZa1LnipmL4zjq8nK4aQBFgJPGpWIdilrt2aZ27OXU1xEcX8yEZLXl/q2ablzeEClWA0lH+wHVRVqQ3l+8dHd3s2blG/i2P6r+vDeHaDSK2WymoKCAyy+/nDlz5rxHnGpoaJyYT2bh+i1g8eLFLF68mGj007nramh8GnJzc7Hb7QwODhKxOakf6CE1LZVIWzuezVvJz++juzmDZL2AgkKo0U20L0xy8kKamx9jXkIM+5pc7FTWE+uYRNiXjxw6itMVJDahlz4pniqTjXvvvZfSnGxssbHoDjWQPD6BfgZZJpVzNJILAwPDa8rOzuaiiy7CaHynVTsQ7ODgwZtwuysBSEg4hdEl/0aSTJ/ovoOyzEPN3fyxrh0FODsphn8VZ2H6vLvCTkTTNuirJ4qZjfY+phvyGGwzIqAwqWMnWQ5VRJpLE3lsawMAcrKZS3ITAXC5XDS0t4OiEA42cEHZr4ajNMsr1VTYLSnxyMe9iA4D1gnJ77n8wMAAW7dupaamhr6+PkZRjQ0vHsFGwpTvcmNpGUlJSVrkR0PjE6AJoRNw0003cdNNN+F2u3E6P8DaXkPjc+RtT6EtW7YQdiZwdMtGis46G9d99zHw8isU/fRa1t7nJVlvIKSAUQD/wW6Sxy+iufkxUunCIEisalrFL8Yv5MDaQuTQUUJ7DUyev42VLKIlM4vcygq219TAUK3QjCb1+gcABEhKiOGyK76HwWDAYDC85w03EOxg795L8Psb0ensFIy4g9TU8z/2m3JLIMQRj5+9bh9Pt/XSE1aLja9OT+APn6dB4ocQ7vASfekeTMBRZQw5yc282HErQkRBp48yNeDDGmdHMEp4M2wse07t+LLmO5kTp3oa7d27F4CUjg7q8kVuy1E757zBCKsPdyIC03rVSJx9RjqCThV8iqKwZ88eVq9eTSikDtwVRZGZxlrwg2X69cyde9oXuBsaGt88NCGkofEV520hFLU5cbc3MDBKLXz1bt9OquO36AwriCglGIeEgu9gD0mzSjGbs/D7myiz2dkx2A5Fg4j6bBAM+OpD5EaOgx6OxyTzt/PPZ39FBb1NTUQCASJGA1FBJCpEOF3ZgsuX85402Nu8WwSZTBmUjX8Gs/kDxkGcgH83dvKnIU+gt0k16rklO5kr0+K/8EiHEpXx7evCu7uTcEMHqcb1IMBTMVbKbAaePJqNQIRCXy15tjEAmEvieXpvC5GoguzUc25hEnpRIBqNsm9ICOUfP47pZ+dikAwArDnSiT8c5TybFV1/CMGkwzo5Bb/fz8GDB9m1axfd3erYkIyMDGbMmEGeU8HwwJ2AgDjxyi90XzQ0voloQkhD4ytOYmIiaWlptLW1EXHEUnWokrFTpuDbsYP+ZcsZMVpP+0GFTIOaHgu3eIi6AiQnnUFD472cHGtnx2A/O1hHkmM6YV8ecugYxmY9ibmddJNMS2IKV199Nd4dO2i68irEGCcXX+8nIihc19JChreFAW8Ip9UwvK5gqId9+y57lwhagtmc/rHvb6PLzZ+HRNBIq4liq4n5CU7OSIz5/GaFfQBRb5jep48SqlfTgVZpM6IQJGDNIprazFrvIoSBCAgwrWMXWenXAmAoTeTJF1TBE8mycX6q2rVXVVWF1+fD5PejBNo5c/Z1w9daVqlGjy4XjUCE7pQAKx57mI6Odzr19Ho9J598MpMnT1brflb/r/pAwXyIeadTT0ND45OhVdNpaHwNGDt2LABhZzzHd+/AtFBNhwwsW0buvFm0hf0ARIcsf/yHekhOPgOAJLowCQqrmlaRW5qApFe7wgy7/ZSivnE/31wDgGXiRKTYWOT+Ac7yFKAICmssdjKFbvbu3jK8nnC4j8p9l+Pz1WE0pn5iEdQRDHPTkSYU4PK0eDZMKua+khzOSY79UkRQuNtH9337CdUPIBglHAtyiMlSLQbWmUcyPnaQTS3TAEgQ+yg0ZqAX9UgxRjb6/fR4gigGkezcGMbbLQDs2bMHgNz6egYnFxJnUgVSjyfIWzU9lCER744QIcrK9m3DIigpKYnTTjuNn/zkJ0ydOlUVQeEA7HtGXezEq77IrdHQ+MaiRYQ0NL4GjB49mlWrViGbbYRFiVaTDqvVSrilhUj7IE7bMQLRMkziO+mx5NnjsVoL8HprKLdZeGuwB6XQjbg5BwQ9iqsfk98LFtg8qKc7MEiiyY7t5JMYePkVZteZeKkU1jmSuNrdj+/Aq/SUCHR2rqCndyORyAAGQxJl45/+RCLIH5W59lADveEIJTYTvxvx8c/xWeI/5sL13DGUQBQpxkjClSXopRbYtAdFkNhs7sEmTCbYJiCgMLl9B7m2KQBYypJ4aodaWBXNtHJ+ahyCINDX18fx46qDd15dHc4f/m74ekt3NxKVFS5H7SqrltrJLs5j9OjR5OS8fyqSI8vA7wJHhhoR0tDQ+NRoESENja8BNpuN/Hx1jlXYEc/RHVtwnK5GhfpfWUpheTxtQyM33k6PRXr9JCUtBGB2rBWAnazHbLMg6tSJ7+ZqM5lKIxF0PHj4FQDsc+cCkLKnERSFI/oQbkkgNn4l+w9cQ0fnciKRAUzGNMaPfxKLJedj309EVrjxSAO73F4cOpEHS3K+tI6w6GCIgZX19D5xGCUQxZDtIOmmUvQpVhjy6umMHU9OchtL289EiCoY9SFGBnpIMaupqa4sGzvrXSgCRDKsnJus+hy97euT3NGBogtTMO00Ojs7Wb58OQ+t3kcWIhMxoaAw6dq5XHzxxYwZM+b9RRBAxYPq54lXgfgFmklqaHyD0YSQhsbXhHenx9prq5FnzQDAvWoVadNm0hNRa1rkd6fHhoRQgtKFRVRY27xWTY8ZRgCQdbye8FBg+NUBO13dq7BMnYposaB09TBzMIkx5hAVZbH4U8KASEbGZUwoe55p0zZisxZ87PuIyAr/U93Myh43RlHgiTF55Fs+WZv9p0H2hXG9UEX7XyoY3NgCClinpJJ47RgkuwEiQdj/LAAv6qzozJn0NKldYONc+8mxjUIQBAzZDp6qUtNZcqKJsYk2ci1GZFlmX6UqhPLq6pCnTeLll1/mvvvu4629h+mSbXwHPQDmkfHE5CR+8IJb9kDrHpAMUHbF57QrGhrfPrTUmIbG14Ti4mL0ej1hIGq2UdfTQWp2FuHGJjzbK0lKqMPvjcX8dnrsUC/Js0ux2Ubi8Ryl3KZjk7sLRgwibskFRITuDvxuI6IzSqOQx4qDP6HY9EeknxoJefo5N7sZQS8DIoagjN99BkUn/+YT30NLIMT3jzRSMeBFBO4blc3UGNun35yPScQVoOfxQ0S61NoqQ6Yd26x0LGPeJUaOrgC/i7A5iVBSCyv6bkD0RhBFmVLXAXJTrwRAGpvAK6sPARDNsrIoMQaA+vp6Bt2D6EIh0lta2ZSfT/ch9ThffDGONoGFghEUsM34CGnBXQ+pn0vOBduHiCYNDY2PjBYR0tD4mmAwGIZHbkQccRx9ayPOs88GYOCVVyicmkFr6F3pseZBIv2B4ajQrBi1eHeXtBGT1YqoywRgSnM1iqKKp7eEuQQCrXhTOgmPAEEvE5Rh44CRSXv7cNYe+cTrf727n7m7qqgY8GKXRB4oyeH0IdHwRRKo7aPrvkoiXX4kh4HEG8eRdFPpe0UQwF41LbbHNpaUGJFjTXkA5EWaSNHF4TTEgk5kA2E8wQiKRYccZ+TMpBg6OjpYsWIFADmNjQT1Ij2JiRQWFnL99dfTIiZxJnoMCuhTrRjzPsSrzNsDh15Wv5503Qcfq6Gh8bHQhJCGxteI0aNHAxBxxuHu7WZwVBEIAr5du4jJH8NAtAsAZTg91ktS0ukAxCvdWEWFNc2ryRmXgDiUHitpOoYiqC8FO3QLKRjzCAVZd2DardagGEVIMESolXSMDVXS5er7yOsNywrHvH5+VtXM9w410B+JUmq3sLa8iEVDM7i+KKIDQXqXHKXn4UPIg2H0KVYSbyrFmO3474NddVC/GQWBLfYeVofOROgOAlDetpPcd3kHPX9QdYaOpFsoNkq89fKL3H///fT1q/uUW1ePUD6JH//0p1xyySWEDA6OtgxwPqoVgW1G+of7JO19EqIhSCuDjAkf674H/OGPdbyGxrcNTQhpaHyNyM/Px2w2o0g6ohY71Yf3Y5k4EQD3+i2kpjTijSrDLsz+Qz1YLNnYbSWAzESbRKevEzHXi6RXIxxScz0W3yAC0B+RWR0sIWvE1WTWzCH2YQklKjDaHKV+rBPFHKFq++sfuk5FUfh1bSv5mw8wp6KKp9p6EYAfZCXxatkIss3GDz3HZ4USkXFvaKbjzt34D/SAALZpaSTeOBad8wTr2PskAH3xpaQm9fBWyxQEBRIMLpLCA2TZVUE6OMLJrgZV8ETTLDiPHaS2thYAAQHLYD+xfX2M+M6FOByq4HrtQDvz0ZOAiOgwYBn3IWkuWR6OTjHx6o90z/5QlKX7WvjuwzuY9ud1DAY0MaShcSI0IaSh8TVCkiRGjRoFqFGhmortWIa6x9wrXqNgRt5w9xhAqMFNdDBEUpI60mGGU02PHTBuQ290IkgpoCiUtdQwFETi/uYuwrJC5ORT2C5Mx/pKOu4omE1QURaD3L7kQ9f5SGsPDzR3E1IUrJLIFKeVF0vzuSM/DcMXNAxUURT8h3ro+Oce3KsaUEKy2hH2g/HEnJmPaDxBiWQ0POzVs9pi44huOtEWdeZgefteUi35GEUDosPAkjY1AhdNMIJJori/i0mTJmGPV7u+CmvqEXQS1mlTh0//WmUbFw1Fg+zT3xmncUIaNkNfAxgdMPrcDzw0Kis8vaORqX9Zx4+f38/W2l68oSgV9a4P2y4NjW8tWrG0hsbXjNGjR7Nnzx4ijjiCHU24UhIR9HqC1dWY43LxKYeBHGRFjQz5D/eQNPY0jtfdSQI9mAUj69vXccOok6jZkU8k2kFZczVbClUfopZAmOVdfWwuHMcL1xQx6fB+Bloe49KUVvKMQO4xmpuXkJl5yfuub2e/h9/Uqo7Jv85P4/rMxC98Tlik14/rpZphd2jRrsd5Wi6W8R9hMGn1SvB2ETHFE0luZEXntQghGaM+SK77OLnJ5wHgSgzxzI42wEA03UK+EOW3N92I2+2moqICRZHJbmzEUjoeaagd/kibm9hOP7lYwChhnZzy4Tez53H189gLwGA94WEHWvr5xdKDHGp1A5AZZ+b8skzOLUsnM87y4dfR0PiWogkhDY2vGdnZ2dhsNjweD1Grg+p9uxg/ZzaDa9biXrWe1PQo3u5srNLb6bFeEqeMwWYtwuOtYpxVYcdAPbYCEPfmQ2Arpvoq9OEgoskMKNzd2MlZSbHoXS1UlIxDF/0rf+t/irvdr6FPlKiu+SVReZDsrOuGhYWiKLzS2ccva1uJKOrE+BsyE7/wOWG+/d30vVKDEowi6EVsM9Oxz85ENH5E350h76DDKSPpt4j0HzQjEmZ84Ahm0UCqOQeAZxsP4VWyEHQgJ5q5NC8dk8nEynUrAbD1t2MKBrHOmjV86lf2tnDx27VBU1IRTR/yEuzphqOvqV9PuHL426GIzOsH26jr9pIeY6a2y8OjW+uRFbCbdPxkXiGXTslG9yV5M2lofJ3Q/pdoaHzNEEVxuGg67Iijbu8uTPNVl+GB198gb2r+e9JjweP9yL4wiUlqCm3WULt6jXMvohSPIDpRImGK2+rwRWXMokiVL0hvOMJLxyoYV32EiGRkMP4a/qC7mfSmAADHj/+Nw4d/RCQyyIFBH+fsq+Wmo024wlHG2MzcWZT5hYogJSLTt6wW17PHUIJRDDkOkm+dgHN+zkcXQQMtULsWgKqYDpYOnIM4EEYQFEpaD5BhKUQURFzCIHsN6qiMcKoVQRI4KymGaDTKgQMHABhzrAEA26yZAESiMvv3tDMeHYoA9mlpH76e/UtADkP6BEgZg6IoPLW9gdl/38CPn9/P3etrue2Vgzy8RRVBZ45LY/1P5nDl9FxNBGlofES0/ykaGl9DSkpKAIg6YglHwnRYDYh2O5H2dgxSIn6lBQBZUUABf1UfSYkLAEgV+jAJChu615I6IgZRrzpWT2lTi3xnx6pC6ZHWHlaNn8w///l7rl65FIDauLn81v4rxIYkBEGis+s1Xt+6kKt3rWXHgBezKHB7biqvTSjAqvvinI+jA0G6HzyAd0c7CGA/KZPEa8eii/2YRo37ngYUOjJHEXUYqW7KBqDIfBxL1EeWfRwAujGJ1IfV4udomoXJTitpJgPVtdXIQZmIEiSjuQ1dUhLGoiIANtd0c5JqW4RpTALSiQq130aOwq6H1a8nXEk4KvOTF/fzy+WHaR8IkGQ3cuHETOYUJTI1L55Hr5zIvy8eT6L9iytE19D4JqClxjQ0voakp6fjcDhwu91ErE6qdm5j6rx5DLzyCu61m0hONeBzZWEZMlcMHOohrnQkFks+Pt9xRpmj7Os+wI0lFlqO5hMN7iWu9gjC5IU0BUL8uTCD26tbuDcs0XTl97npmYepyGvj0Ihr2BA3mXpTOtNsMGXw98RHW/kNv2BvzK+5euRZZJgMH7L6z5ZIr5/uhw4S7Q8imHTEXVSEuTju459Ijg4JITiYAK8GzkTsUKNfE1sPYZJsJBlTAahKjSdwoAu9XU/AqeecoZEaa7avAcA22Ioky1hnzRyOir1e0cKNQ07Sjo8SDap6A/qbUMxxHI5bwN+f2M2m6m4kUeD204q5dEo2Jr02ZkND49OiRYQ0NL6GiKL4TveYI5amg5XoT5oDgHvlKvIm5dAWeic95q/ug4hMUqKaQpvhtKKg0BR3BFGXDoIJ2TtIRmcTR7wB5sY7+E1+GgLw2uSZ3HDbH4mRxqMPViMoURosGSzxZPA//JM23VjM+Jne9wuUnue+0H0Id/voeuAA0f4gugQzyT8o/WQiCKBuAww043E68dsG2d5SjqBAsrWL2P52sqwjh0dqLBkaqeFLMaMTBc5IjMHn89Hb2AvApOp2AGwz1fqgAX8Y47E+TAhEE0wY3s+76D+IbrsXgEcDczjjflUEmfQiD10+gWtm5mkiSEPjM+IbL4SqqqooLS0d/jCbzSxbtuzLXpaGxqfmnfRYHFFZpk0OIcXGEnW50AuxeGXV6E9RFAjLBGr6SRwSQjk6D3pBYatnA7EpNkS9OoR1ers6KX1NzwA3ZCXxSGEWiXKExrQMtuRPI2wegyJICIoqskKChcHse0lJOR+Qqa7+LVXVv0VRop/rvQcb3bherKbr3/uQ3SF0SRYSrx+LLt78ic8Z2fU4APuSYtkoz0VpDgEwM7gHgGx7KQCBIe8gQVDTYrNi7cQbdGzctRFBEfCK/aTWtiDo9VinTwdg1aF2zpLVaFD8rIwPrJ1SFIX161cjNW8jrEg86D8Zq0Fi/qhkXrx+GicXJ3/ie9TQ0PhvvvFCqKioiMrKSiorK9myZQtWq5V58+Z92cvS0PjUvJ0eUwRBTY/t2IJ9gSp03Gs3k5zSQEBWht90/Yd7sdvHYDSmIhKm0BhlR/sO0kucSEN1Qll16giNNb1uXtrTwh2P7OY3FieXv/4y331zKYkdzxDbdSc7tp/Dws6NyMDv6jp5UPg+2Xk/B6Cl5Un277+GcPijO1B/VBRFYWB1A9337ce3pxMlLGPItJN43dCg1E+Ay+Xi+cfuRah6naBewJMc4LX2UxHCMia9n9TGdmy6WOIMcSDCipCaLtMnmsEkcd5QWmzX3l0ApIcGAbBMmoRkU9vdq3e0ko5ISCdgKU064VoOtw3wnfu307fh3wBs0E3nl5ecwr5fzefByycyJuNDRnFoaGh8bL7xQujdvPrqq5xyyilYrSf24tDQ+Lrwn+mx5qOHkIY6lAbXrCW3LIP2d3WP+Y/2gsJwVGiqw0gwGsST0o6ozwZElJ5OYvp72Ooa5LldTfT5wvxkeTWK184VK17m/IM70AUqOaaL8PCxX/MTewRJgOc7+vjVwCnkj7oXUTTR69rMzooz6B/Y85ndrxJV6Hu5hsH1zQBYxieReOM4Er8/Dsn28UVQJBJh9+7d3H///TgbVyIhU5WRyE5hGoEmVTzOsW+FUJCsoZEaxvwYnj2kRto8ySbMosipCU6a25tRBhRkZKbXqOaFtpNPAqDPG6KwVRVP0rhERMN/p7R6PUF+sfQgi+7eQk1jM4vE7QDMvuyXnDE2DcOHmS6eiMFOqFn7zswVDQ2N/+JLF0KbN29m0aJFpKWlIQjC+6atFi9eTE5ODiaTicmTJ1NRUfGJrvXCCy9w4YUXfsoVa2h8dXhbCMmOOBSg2TeILikJ2e3GoDgZlDsBNZKi+CKEmtzD3WPFxhAiCrvEzRjNFrVWCJjYdpwQcPmZRVw+Wo12vOgs4UdzbiGzLQuA1Xa1fmhm9Zs8NjoXsyiw3jXIZY1ZmIpfwGLJJRjsYO/ei2lqelRNz30KogNBuh8+iG93JwgQc84I4i4swpjt+Ngt+l6vl1WrVnHXXXfx2muvEQoFmayvIiIJdKeLLHWdg+iJIAhRRrarxpA5DlUItaVZaOnzo9eLyMlmTkt0YtVJvPaW6vUzaOnDdrAaAPucOQBsrGhmCqr4SZuT+Z61uANh/r2uhjn/2MiSnU3ICtyReQiDEIGUMRhzJn28jRpogd2PwrOXwD8K4c5CeOY81ZlaQ0PjffnShZDX62XcuHEsXrz4fR9//vnnufXWW/n1r3/N3r17GTduHAsWLKCrq2v4mNLSUkaPHv1fH21tbcPHuN1utm3bxumnn/6535OGxhdFRkYGdrsdWRCIWh1U7XgL+6mq0HFv2Ep8fA2hd6XHAkddxMRMRK+PQ0eQfKPMptaNZJbEIQ7NHhvdWgNA/2OPcslfb+Cu/CBOg0idM50/Jl1IqHMulRa13sXc/BbzE5y8VDqCJIOOGl+Q7xwLsyPpUZKSFqEoUWpq/8ihw7cQiXg/0T0Gavro/PdeQvUDCAaJ+EtHYZuc+onO1dzczAMPPMD27dvx+XxYrVbOLc8gNtxBS7qdSnEsriY1YlxmriTSHiDGkIRdsoFO5PkBNe2lpFhAEjgvOZZoNEprjSqYSiUjyDLG4mL06aqw9O7sQESgK96APvEdh+cXdjcz4y/ruWtNNYOBCKNSHTx/3RQukDaqB4y/7KPdlKse3rwN7pkE/yyB134MVa+DpxO/SUfLiGzwaSM2NDROxJfePn/aaadx2mmnnfDxu+66i2uvvZarrroKgPvvv5/XX3+dRx99lNtuuw2AysrKD73O8uXLmT9/PibTB/uKBINBgsHg8L/dbvdHuAsNjS8HURQpLi5m165dROyxtNdUwQ23wpNP4Vm3nrxfXUv1RoVsoyqEfEd6cZ6WS0LCKbS3v0iZVeR5Vy9Sjh+xIhf8mzA01KAPBpCPHkEJhxl55x0sueC7/KXbxFuJI4m65lLvH8Ee8V+M9FUSCQWY4LSycVIxP69qYUV3P39tdFGd9CN+MmICTcf/QFfXG/i8xxk79kHM5oyPfH/e3Z30vVINMuhTrcR9dyT6hI9fEC3LMjt37mTNmjXIskx8fDzz5s2joKAAafn3iQrQmGnlZd95iN1qGmumfg9RRSbbVgaAviiWZUea1HWlmojX65gda+etyk3owjqCYpBpDT4igO2kOQD09Psp7Y8AIgkz1WiQoijcubqaezaovk0jkmzcckoBC8ekInUegI4DIBlgzHc+/MZq1sBL34OgOkoEQUTJmEhvfjEtpjZ6ffsBL7GxTrSCAA2N9+dLjwh9EKFQiD179jB37tzh74miyNy5c9m+ffvHOtdHTYv9+c9/xul0Dn9kZmZ+6M9oaHyZDKfHYuJREGjx9KNLSUH2ejESgzvaA6hvwNFuP5Ee/3AbfakVQOGodReCFKu6TEejFLbXcftVP0C54fsgCIgvPMMvq5Zz266nMCpBZH8O3/X/iW1yCccrNwEQp9fxYEk2dxZlohNgaVc/P+qeTM6YJRgMCXi8VezafQ59fTs/9J4URcG9vom+l1QRZBmfRNL3Sz+RCOrv7+epp55i1apVyLLMqFGjuO666yguLkYKDsDhpbSnmNgrjaKpKQUBSBMbkerUdFaOYyQAh50SvlAUi92AEmPgrKQYdKLApgr1/oVkBXmbmra3n6TWB+1bU08MIi4JMstTGfCF+cGz+4ZF0C0nj2DVj2Zx5rg0JFEYHvZK0elgOYENgByFph1qFOiZ76giKGMSXPAkrutfYPc4B/vlN+j1VQIKDrEcWQ597H3T0Pi28JUWQj09PUSjUZKT39sumpycTEdHx0c+z8DAABUVFSxYsOBDj7399tsZGBgY/mhubv7Y69bQ+CLJysrCYrEQRSBqsVFdsQ3H0HN9cMseYmKOEFHe1T121EVs7DQkyYIZPxl6hc09G0jNcw6nxya316GIImvPuYCM++5FtFqJ9vQwu3U//9z3IKKpiYBi4ZrwT7l343EiUbUoWxAEvpsWz3Pj8nHqJHa7fVxSaya+5CXs9tGEwy72VV5Oc/MTJ6wbkgMRXE8fxb26EQD77AxiLyhE0H/0lyufz8fWrVt55JFH+L//+z/q6+vR6XScfvrpfOc738FoHHJf3v8sshykIdvJ85GLkVp9AMy3bibkDpFoysIkGBBMEo91qOklf4oJBDUt5vK4iHRGADgpNgfZ60WKj8c0NALFcEj1FerOs7Ohpov5/9rEawfakUSBv503llvnF6kCCCAShIMvqF//Z1pMUaB5F7z+U7X259EFsPM+QIEJVzJw7p/YF3yZfUduwO2uRBRMJPnOI3frX0ldeRNGT/ZH3jsNjW8bX2kh9FnhdDrp7OzEYPjwzhKj0YjD4XjPh4bGVxlJkiguLgbU7rH26mOI06cC4Fm3jtzRTrrC74gO/9FeJMlEXJxq9jfGHKWqr4r4ItOwn1BC/TFQFNb1urHPmUPWE08gxaqF07lNjYyT7sMSq0Zll7uyuf6pPfhD73gHzYi181pZAVkmAw3+EOcf7seT8ygpyWehKBGqa37H0aM/f0+kIjoQZPCtVjrv3of/cC9IAjHnjMB5Wu5HLoj2+/2sXr2af/3rX6xZs4bm5mYURSE7O5sbbriBSZMmvXMuRYHdj9GaamK7YTzNbakIUQULLjKHamqy7WqxslIYy5Z69XuBVDPZJgNlDgsvvvUikiIRMAYYU6+m0W0zZiCIIi11feQHIYrC/a4Brn58N53uILkJVl64fioXlP9HtPnQy+DvA3sa5J/0zvcbt8PjC+GRubDrIfD1gMlJYMwiGs/4HrtSW9hdeRGuvq0I6IgfPJ3cDX8hdssiDN5kjAUxH2nvNDS+rXzpNUIfREJCApIk0dnZ+Z7vd3Z2kpKS8iWtSkPjq8fIkSPZu3cvckwiSkcTTZ5+HKmpRNrbsYgO+qNu0ogBIFg/oA5hTZhLd/dKyu163nRDe0INoi4DBD2Ku5+knnZ2CWn0hyPEjC4he8kz1J91NkooxP++FOGXly3jDPM+/s9/DeuOdXHJwzt45Ipy4qzqHxwFVhOvTyjgsgP1VA76uORQM1em/Zir8sbSWv8n2jteJhBsZ8zoxfg39eFe1wRDek1yGom/dCSGTPtH3oPu7m6effZZXC5VsCQnJzNx4kQKCwtxOt/Hf6dxG+H+Wo5PiudF5UKkJg8A0yJ7cLdYEJDJsuUAsM0goyjgTLbQadYNj9SoPlyNHTvpBen4nlDHa1iHLAwqX6uhFNhJhF29fkx6kUsnZ/OT+UWY/7OFXlFg+1DDyKRrQZQgOAiv/wQOPD+0KUYoOZtIySIaxMM0tz6B7H5bSIrEhU4hZsd89IFEEMA8JgH77AwMGR99DzU0vo18pSNCBoOBCRMmsG7duuHvybLMunXrmDp16ud67cWLFzNq1CjKy8s/1+toaHwW5ObmYjQaiQoCUbON2ort76THth/CbD40nIoSFAhU9ZGQcBKCIBEn+oiXZHYENmKPsyLq1Bb58s56ZGCjS+2UMubmEnPJJQBYggq/fTqK2VvHM4Y/YdMp7Gvq58x7tnCodWB4XYkGPa+MH8HV6QkAPN7Wyw1dU4gvfgRJstLXt41dm86lZ+tuUMCQ7SDmzHySfzj+Y4mgqqoqHn74YVwuFw6Hg4svvpgbbriB8vLy9xdBAHufpDHTzGb9DFp60xB9UUSClNv2I4cjpFgK0SMh2vQ8UN8NQF+imlI7JzmWrXVbsXnUAbVnjJxBsKYGRBHKp/DbZYfIaFMnrK7RRbn9tGJ23H4K/3vGqP8WQQB1G6HzEOgtMPEqaKuEB+eoIkiQYMKV+K9/nZqxuWzt/DWNzQ8hyyGcjvEUZP6K4poHSdz4XfSBRCwTk0m+dQLx3x2piSANjY/Aly6EPB7PsPMzQH19PZWVlTQ1qd0Zt956Kw899BBPPPEER48e5cYbb8Tr9Q53kX1e3HTTTRw5coRdu3Z9rtfR0Pgs0Ol0FBQUABCxx9By7DC6GdMA8GzcSGahhCv6rvTYkV70+hhiYtTUzxhzlB0dO8goiUXUDU1cb1ELete73umcdAw5VyuigC0AE1+HwtYmfp+0nqw41WPn3Pu28fyupuGfsUgifyrM4Plx+SQadBz1Brj4eAyhEU+jU+Lwi/U0TvkN8untJN04Dtu0NMSh9vwPIxwO88Ybb/Dss88SDAbJysriuuuuo6io6IPTaYEB/MdfpS7DzotcMhwNKvIfQulTxUOOU/0jyJNr53ivF71OJJRsosRmoshq4vVtryMgQAzEHFItB4IFozj1kUpqdrSSgIgLmdtumsT1s/OJsXxAan77PernwgWw/GZ4cDb01qI40nBd+Df2ZwfYduhimpoeJhIZwGIZwdgxD1Ks3IP0dAFKvQ7BpCP+yhLizi8cbtP3D7qpqdj2kfZSQ+PbypeeGtu9ezcnnfROPvzWW28F4IorruDxxx/nwgsvpLu7m1/96ld0dHRQWlrKypUr/6uAWkPj205xcTGHDh2CuEToaqHZO4A1OZlIZycxJiu14SDxOrXrynfMRVxEJjFhHn192ymziWz0+AhnuxD1OeAHXVMdhlCAja5BlKFia/OYMYh2O/LgIIczoaQZWrfGMjaymhX3/ZWfvFjJ2qNd/PzlgxxqdfPLM0YNuyLPjrOzakIhVx2qZ/+gn6uq4fr6v3JS3F8JxdRSE7md8PFm8vJ+jCB88N9oAwMDHDhwgL1799LXp47ymDx5MvPmzUOn+/CXNeXAi1Tl6FgjnkqPOxZjTzegMIt9eDsVJEFHujkVFFg1VMdkT7cxqBM5JymWbl83/mY/RoxMHD+R/ufeBOA5MYP2gQA/E60gw9E4PRemfshYjK5jULtW/frwUoJ6gb5EI715I3DZwoTa/jx8aFzcTNLiLsbSPAr/i730N6kCzJBpJ+6iInTxZkJ+H0c2b6B6xxZajh1GkWWuufsRnEnaa6aGxvvxpQuhOXPmfKjr7M0338zNN9/8Ba1IQ+PryYgRIxBFkbAMeoOJ2t07mTFvHn1PP43vQDOiFAHKVFETlgke7ychay7VNb8jUx/CIpo4aNiJ3TiBsBiDIvczoq2BIznFHPEGKLGZEXQ6rFMmM7hmLbUjLLQk+FmwD0I7o/ife4wHr7yWezfWcueaap7a0UhVxyD3XlpGgk1NKaWZDCwbX8BP99Xx8qCHe/PjOKL8g5+mvcZA28M0NN7LoOcoo0v+iU733rSOoigcP36ciooKqqurh79vsVg4++yzKSws/Mh71V3zIM2pMSzlfHS1asQrhaMkmjwMKEbSbKVIioAYY+Th42parCNBjVKdlRzLc7seICYUgyIodIazSXtrK2Zgb3Ixt07MYuJuVZw5p3wE48e37gQgpBPYP9qB2/F2NKwTwiBJNlKTzyExdCbyPiOBYy4GlAb1EEnAMS8b+6wMfO5+tjz5DAfXrybk9w2fXtQl0t/ZowkhDY0T8KWnxr6qaDVCGl83TCYTublq11fEHkPz4QMYZs0AYHDDRtKzBvBE39VGf6QXszkdm20kAgqjTFE2d24kvTBGjQoBkzvrAdjQ+0567O2J6pNaTDyyQKRmrPoy0ve3fzLw0ovcfHIBD18+EbtRR0WDi7Pu2crhNrVuSJEV5AM9/GJlD3ccDmBQYKMQ5eb+szDk/R+iaKC3dwM7K87A1feOV1gwGOSFF17g6aefHhZB2dnZnHXWWdxyyy0fSwRFWiuojuviGS7H229E6gkCUea078LXo9oO5saMB6Az3cxAIIzNqkeONzLJaSXFILBv/z71cUlixbPrMEeCuM12/nLb+SyS9YgI7CTC9EknMI+UZeipgTd/jjLUMn9opH1YBNltJWRlXcvo5PspaX8a27Pz8S3xEjjqUmupMu04F+aS8j/lmKcksmPpczzyw+vY8/oyQn4fOmM8OvNsDI7vYXRejqxoIkhD40R86RGhryo33XQTN910E263+8TFlhoaXzGKioo4fvw4Qnwycm8H7UoEfXw80d5ekpxmDjVGsUnqf3vf4V5izhpBQsIpeDxHGWOWeay3AUe+hLg/h2iwksTGKph0Khtcg9ycrb6Zvi2EUur6MYUEHp/v5L5gM64qGx2//g2i2cwpixax9KbpXPvkbup7vJx/33b+emoxU/b3E2pSi68vsFmYNS6f71U30eAPcUVTFr/Kfo4RbbcQCLSwb9+lZGRcQWzM93jxxWV0d3cjSRITJkxg0qRJJCQkfKI9On74f9ltHM9G5qKvUc0mY0wHybS6CPSa0IsWUgxxoMBLfrXgWZ9uBUHgnORY1jeuJ74/HoAqfxbn9e4AIP20eaSlxtBw4CgA1RlmzjP9R61T0w7YdjfUbYLQID6jiAXwmiX6YvSkpn6HvNxboVmPe10ToXo30A+AaNdjGZeEdVIK+iSLGiHbvZP1jz/AYI8atTJY0lHEckRdLnqjxKgZaYyelUJsimYDoqFxIrSIkIbGN4iioiIAgpIeWdJxfPdO7EPO7KHaXiJDKRVFUVA8YcKtHhITTgFglFlGh0JrTDWiLhOQUFw9xA70UDHgxRtRfYIMmZnos7IQojKjmhTq9T7s4wcxFsigKLTddjuDa9cyIsnGsu9PZ1ZhIv5wlFtWHObepm4UvYBjQQ5JN41nXLydVROKmBlrwxeVua1B4RH7w1hTLgegpeUJduw8C6+3BrvdzlVXXcXpp5/+iUVQX/cmanStPMT3EftCSH0hECKU9+9GENQOsEzHdAQFhEQzzzeoQqkjwYAkwKLEGF6uWIY1YiWMQmxKLvP7jgHgnDcX374uDBGFZqLkTXpXWqzrGDx6mmqEeOw1vJKPYwUOojo1OteVmcz48UvIFf4H9yNt9DxySBVBkoB1cgqJN44j9fbJxJyRhy7RTPPhA7z8p1+x/B9/YLCnG0nvRG89HcFwAUbLCMoWZHPxr8qIBjax7G8/JxLSnKU1NE6EJoQ0NL5BOJ1OUlPVN+CIPYb6yj2YTpoDwODGLcQlNLzHZdq3rwu7fQxGQzJ6QWaESaYi+Ba2WNvwNPqy9nrCisLWfs/wdaxD9hWTW81EiLLXZCa3rAPz/JMhGqXlx7cyuH4DlsEQfxMtXIjaMfU4IX6bo0eZkjLsFB1v0PHcuHx+kZeKToA3e71c3XM2q3p/RChkwmrto6zsTRadaSI9/ZMNWwWIRLwcOvQTHuZGeoVETHVqus7k2ENhexB/r+qOPSJBNaesTTAQkRUSEywodj1lZjO/XfoWvhZ1H7p1MSye4iDa2YlgsWCZMoW+LS0ALCXM3FEp6jiMrf+GB2YhN2+jM9nC3mlF7CiPxW0TsHujyKJE6szlyK/a6X38MKHmQdCJ2Kalkfo/5cSeU4Ax24Hf42bfqtd45he38sLvfkHjgX2AiGSahM56OUZ7CePnZXHJbyaRmNHFc7/+IXteX46rtZnjez58rImGxrcVTQhpaHzDGDlSnY1FfDKRUJAeow7Rbifa20tKgv49LtPevZ0oYZmERDUqNPrtNvqR79QJlbSqbfQbhvyEAKxTpwBQ2qR64qyypCII4D6pAMfpp0E4TMsPbqH1548ROdbHD0QTvx+VjkESWVvTw5n3bOFo+zt1R5IgcEt2Mi8VZ5AaDeGKKjyZMJO/eP/KgDQLQYzQ3HwXu/dcgMdT9bH3RJbDHKu6gyXKfHYIM9C5g8i9YSBKoXwQo10HioxZl0GMrLaeP9Gvri+UqnbaHdrVzuqGlWR61bqf7y44BWnbZkB1k460hxB6AvhR6My2Ei/5YcmFsOaX9Dpktk5L4VCRhT5dLyAywqXOEosmnk7vg90EjrlAErDNTCf15+XEnJmP5DQS8HjY8MRDPHDDFax/9H4662pAkJCM4zA4rsSecBKTzyzk3J8W4h9Yy1O3Xcurd/6JwZ5uHIlJnHvbbyiaOvNj75mGxrcFTQidAK1YWuPryttCKGQwo4gStXsrsM1Sx2mIXX7cstrRFFYUlEAU/4FuEobSY2PNMr6wh2i6e1gImRpr0EXCbHyXn5Bl8mQQBGJb3Tg9CgdsqnhQGjcTd93t6HMmQTSCf+f9SNY2kn80gcsuL+WlG6eSHmOmsdfHOfduZXllK6Aape7evZuNjz/MGVtXMr6xClFRqIrL4Kf8mB2J9yOLMbjdlVTsWkRNzZ+IRN4RZh9EJOLlwIHreKnTzVLhAnWPWtSf1TkOMKbejxxSI1Z5SZMRFJBTLaxvH0AUBDrj9SAryO0+CmwtGGUjkkliRlkJnrWq2at97il4KtoBWEOY2TkKPHQS4Ya11OY5qBzjJCRFMBqSycm5mWljXya2Wb33vqZZKGEZQ66D5B+WEbMwD8luoKe5kS3PPcUjP7yWvW8sR45G0BlT0JnnYHRciyPlNGZdVM4lvy1Hiezh2Tt+wP7Vr+N3D2C2O5h01vlc+Y97yR0/8eM+hTQ0vlVoxdInQCuW1vi6kpiYSGJiIt3d3URsTur37WbKWRfjfv11PDsrsY61gDIL/VB6zLOzg8SyqUiSFQdeMgwyVZa9SFIxCDaUsIfs9gaO6wqo9wXJtRjRxcZiHFlM8MhRRjcq7Cjx4BcEUnoN9D5xDOPYqwCFcMMu3K/eSdzFEyBpBGMzYnjtBzP44fOVbK7u5ofPVbL9WCs57v10tKnCICM1lRvmzcDliOX26hZ2u33c3ZNIpvFxrjCspNh9P03Nj9DW/iIZ6d8lI+MyjMb374pyubZRXfM73vBm8BDfB+AyVyUvNScAAgnW3cQNSkQJABIF8TnggUqb+jdiSrqNOqOE2OknN8lNmlftKisdW0q0tVV1k5YkzOXT6bpHLZJeTog/1t3C7sxBBhzxMOTrmJ5+CQUj7iDaFSX81C8R5BAhuZCIeQyxC/OwlCUB0HBgH9teeJr2mnciXzpjIoJ+JpI+B7NdT+m8LLJG6TiyeQ2P/XgNfrea5ksvHsWUcy4kc/Q4hFCIwdWr8W7dSuqf/4wgan/3ami8H5oQ0tD4BjJq1Cg2bdqEHJuIv7EKT0Ya6HSEjteRsmAi/U0KMTqBKAo0DxJpDxMfP5uurjcYa46ypXcTF+ROpuVQDtHQISZ31nM8s4ANLje5lkRArRMKHjnKpBYjW0vCHBXmkBS+QX1sQiqpv7yfluuvxb93L83XXU/OC8+jS0gg1mrgsSvL+ceqY9y3qY7nKrtJEBzMtQ5w1inTmTRpEpIkkQ68WlbAS519/Ol4O83BMH8IzqPEchKLos9QElxBQ+N9NDTeh8WSh9NZhtmUicEQTyDYjnugkp6+7bzJQpYIVwJwadsK/L5JKESQrMcY2RNAMscQ9XtwWMdg9OhAgAe61KhZk10VDw5XiJPGNhPdpM44nDRhEoNvqCaKlknlBGv8EFU4RpSo4zgDIwOA2jFmtRaSm3sLCaZTGFjagG9PC6mGl0GAcN5VpFwwEUwitbt3sOe1pbQeOwKAKElYnAUEg3mI+kJMNgPj52dhj+nk4LpH2PDI3uHfty0unhkXXc6I3AL8FRV0PPM8nnXrkH2qn1DM+edj0aLbGhrviyaENDS+gYwcOZJNmzYRttgxiCINRw+SPakc77btWP1hGiNBYnQmXIpCoiAwuLmFxJPmDQuh1zuOklBgpq1KFULpTTUwcT4bXYNcnTEkhKZMxfXIo4xpkLio+xQSfAsBiVBiL+nfmYEgCmQsvoeGiy4i3NhEyw9uIeuJxxENBuRohNzBg5ykb2drOIcexcaK0GhKSGXSu1ylRUHggpQ4FiY6WdzUxX1N3Rz26zjMFZRYLuFK4RnSvK/h89Xh89UN/5yMyC4m8bLwT1pRa3qub3mBUzuOcXFvGSBjTlzLiC0i0YjaIl+cMRJCEEyzcri1HQWIpFsQowpPLxrN3a8/Si65WOOtJCcn07hhAwC2WbNxbzoI2FhGiImp+zBKsWTl3khS0mmYTGn49nfT8cpulGAUi7gZSehHsaZivexa6g/sZ92j9zHQpQ6XFnV64tIn4xkoIaJY0ZkExsxOZ8QEPVuee5img5XD95k9djzj5p9OTl4h3f+4k7ql7zWe1Wdm4jzrLPRZWZ/tE0xD4xuEJoQ0NL6BJCcnExcXh8vlImJ1cnxPBSUnnYx323b8BxoRko8BpdhRB77793cTUzIeQdCTrA+TpJPpS2weGsAqQFc7DncfWySRoCxjFEUsE8qQkgpJGn0JV/SkAWAR19OnO4wgng2ALjaWzPvvp+HCi/Dv20fHb36L/fbbeOmll2hsbCTPIHHZGdncv89PRYOLXy4/zHO7mvnD2aMZnxU7fD9WSeJ/clP5XnoiD7Z083BLN4f9en7GlcyJu5FiXQ/JchPRiIuOkMIboVLaomo7fKxO4iedS7m89n4W6h8GQB+7k6xAEFPYDkQRxBiyTBkQgiWDaleY4tSDJHJWUgyKvo4YVwwA0yZOIzowgG/PHgAaAy+S5L0NLwrrCfJs+SzGjLofUdQjByL0La/Fu12tH9KnW4lRVoML5EnX8NYzj7Pn9eUAGMw2TPZxBIOj8LjtIED++ETGnhTH0S2v8tyvViFHI0h6PaULzqB03unEpKTiXrmK+h+dRbS3FwQBc1kZlvKJ6CfNoDmYzLEjLhYmJn1uzzUNja87mhA6AYsXL2bx4sVEo9EveykaGh8bQRAYOXIkW7duJeKMp7ellujl1wPg21dJwuX5hFwKJlHkUIzE6P4o7uWtxM2bQ69vDWPMUfYLO0m3zCHkTUOJtDK2/ThbHLHsGvAyzWJmYE0b5qk/QRAEfIqbxemv8FfXS6QOxIOiwFANkjE3l/S77qL5uusYeOUVtre305idhcFg4KKLLiIvL4/Z5QpLdjby91VVHG5zc95927hmZh63zivEpH9nWnu8Qcfteal8Lz2BP9W181yHi419fjZiBUa+Zw9idBJXZyRwg8WDY92dPBRdSE3QiCB5MSaupvBQCqLehBz2Eucci+QWiQrwvFstpNYXOgkB5ybHsmLXo8SGYlEEhdKx42h+5S8QjRJOlTEF5wCwmjAlOTGMG72I6ECQ/k3H8e7pRAmqryH2kzJxjGhEeOowsmTkhVeP0taiRoHis6bhcU8gFNajM4gUlCdRNCWOhn2refH3y4mEggDklZVz0hXXEZOSSsTlouVHP2Zw5UoADCPySf3d7xEKS9ixrI7qZzuIhNUC9+ZjLrJGxX/2TzQNjW8AmhA6AVqxtMbXndLSUlUI2Z3IeiPNbU3EFBURrKoiXhehMaKQbhCoGghQmuwk0ukjYe+5uEZsZqw5zAud27ml6Bxq+nKIRFoZ13qcLUUTqTrQSf52F9H+IIIgEG7cyt7Iq6wfNUil18yUYC+ejmpsqUXvWsw4XIsWEbd8OcU7duBPSmL+979PUpIaqZBEgcum5nD6mFT++PpRXtnXyoOb61hzpJM/nTOGqfnvfRNPMur518gsrs9MZEufh8MeP82BEApgEAROT3RyXkosVkmCtb+lSU7irqjaMWZMehNHVCK9VUbGCwiMysyDQdiqhPEAFpMOV6yBWJ3EJIeeZ4+1kEUWqXnJVB/4LvLqo1iQkAtEHJ0TAFhBiMvG5RNq9dDz+CHkwTAAukQzzjPyMBfFEXniVnTAgZ442jo60Zts6Mzz8A7mIogwakYaU87M4/iezbz6jz8OF0GnFhYz48LLyRo9FjkUovexx+m57z5ktxskiYTrryP+hhtoODzAxt/uxD907bg0KyUz00jK1pylNTROhCaENDS+oSQmJlJQUEBNTQ2huCTq9lYwa84cglVVRBv78EvtQDrlUYGOmSkkLK2HJjPZvb9CV3o3Hn8z9jwRcU8eBLaS2NjGb/Z7WdAxSBSQ4kxYRiu03foEhXYDKAorLWlMCR6nZd9ailOLUBSFnTt3sm7dOsImI5Ozs8lpbKR88yZif3jLf6053mbkrgtLWTg2lV8sPUh9j5eLH9rBBRMz+OmCIpLspvccP9JmZqTNfOJNiIZRKp/l9sg1+BU9ZmszknMPI1rzEAUdKAFEfR6xYdWpei2qgEjLj8ElCCxMjOGthvWkulUjx3Trq7g8NaQcVguh09POJxjQU0WUWkHmZIuZ7gcOoISi6JItxCzMw1gQQ8jvZ+9T/6Csfh2KAnt60zFYRyPoZqJgJinHweyLC4lPN7P+sQc4sFaN8sSmZTDrkivJnzgZQRAY3LCBzj//hXBTEwDG4mJS//AH9IXFbHqhhiNb2tSfS7Uy55JCUkfEDJtnamhovD+aENLQ+AYzZcoUampqCMck0HT0CIabfwoPPIBn516s81Igmk6WqGNpu5vrrh1D7zPHMA6mk7vtD/zVXENH9euMsk7CbD6PDEsuYoeMDIiTk0lemI9AlHazGfOgn8weiYOxVuiDaN1bDAxcyooVK6itVQ0Z09LTKfjnXUj/+0sCR47QfPPN5Dz1FKLV+l/rPmVkMmty4/jrm8d4ZmcTL+xuYcX+dr43I5drZuYSYzF8tA04vIwX+wvZKo/GoAMx5Tl0ikhBnREUtUg6LXEk5oCED4UdRACojVXTcRemxvHsivU4FAeyYRCzswbrEQXRJyA6HUTsiyAQZAUhyp1WlOeqQQFjvpP4y0ah6GDvG8vZsfQFZlj3QCwc96bhNV6GpM/CZNMz+cw8iqcm07B/D2sfekFtmxcEpl9wKeVnnoek0xE8fpzOv/0N7ybVwFFKTCDphz/Eec45DPQGWf63PfS2eECAsvnZTDojF0mvtctraHwUNCGkofENJi8vj6SkJLq6ugjYY+mUw0ixsUT7+kh0+unvUtvo3Ud6MC4aSfIt42l/YhM0G6k7XklXoIkRdi+F8XMRBIEmoYdfT8risklxXG6QAAlLWRnerVsZ3aCwLslLBEjo2cm//vlPFECn0zF//nzKy8vVVNo9d1N//ncIHjlK660/IWPxPQi6/34pcpj0/PGcMZwzPp0/vH6UyuZ+7tlQy6Nb67mwPJNrZ+aRFvMB0SBF4aXV6/l15Ap1L7KO0GroJWsgG7PHBygIUhJJtjgIwwGLgM8H2Wl2qqw6RliMZEkeok1qjU9yajXOwTDpVaUMUINl4jSi3UGCKKwlzC396n5Yy1OIOSufqBxhxV1/oW5PBWYpTElaFwAHgjeSN348JbPSyRwZS/X2TTxyyy/wuHoBMJgtLLzlZ+SVlRPp7qb93/+m/+VX1In1ej3xV15B/PU3INmstFb18eYDBwn6IpjteuZdXULmyLjP7gmkofEtQPuTQUPjG4wgCEwdmgsWjkuiZk8FtlnquAVTnxfXUOt4fm+YPm8IyW4g+fqJ1M+8jfjifgBqB/eysXsta9ueYnvL0xyxyazp/Q+XaWBci0RICXPIYCIZFybFQ3Z2Ntdddx2TJk0aTtHo09LIvHcxgsmEZ9MmOn7/BxTlnbEf/8nEnDiWfn8aD1w2gZGpDnyhKI9tbWD23zcMp8/+k6Ptbn748Cp+2nMGfkxMz7PSbngWgIK2OATUiI/BNJ70sGoH8CbqYNJophqhujDJwr0rryc2FIssRJmqO0ZZzp/x16rpMyl+NADrCRMC5pjNxF82ktjzCohEQyz7+++p21OBKOkZkxSDTpTplfMpveoizrh5HE5jDy/f8WPeXHwXHlcvZruDiYvO5fK/3U1eWTn9q9ey56JbqNpUjyIr2OaeQt7y5ST95CdINitHtrbx6v9VEvRFSM51cP4vyglkWQjLJ95LDQ2N/0aLCJ0ArWtM45vCmDFjWLd2DR4vHKlrYMbc0xhY/ire/ccRRx4DyigTJLbWdnPGuHT0+ljsmSWELetx6+Nw7Eqmy7sXBAMoIbJb69hiMOCPyujCITqcFhRRoLghiiALrDSmUBpqYFJRMiddctX7rslcWkr6P/5Oyw9uof/55zGPGU3M+ee/5xj3ylWAgn3BAgRBYEFJCvNHJfNWTQ/3bTzO9rpeluxsYsnOJrLiLIzJcBIIRWly+ajpUlvgRWSuT60jMtLIgbowMcEYklv9QAQEK/npVixhHSFxkPU+hRiLnlqHiARkNF3H3uYEsgGr0Uvp7GcIh+IINfwBQa8nGsxCEGAZYaYoOo5JEiOK4xh09bDizj/TXluFKOlBN4ZR1pcAcCy4gdgSJ4f+8ifW795CWBKRRJGpF17GhIVno9Prcbf3s+KHS2jxxSIXXAuAdMn3GXXDNAAi4ShvPf9OPVBqaQL7Z8fyhyPH6QiFuTwtnr8VZX7WTyMNjW8sWkToBNx0000cOXKEXbt2fdlL0dD4VKipqQUA+OyxdMQ4VJfpunqS4xoIKwoWQaR19TuGhGkpZwMwemwf5pPVyAeKGjEpbTyKX1an0b+x+C5WvfIsWwsyiCoSOV1wOEbtspSbPnjiuX3uXBJv/TEAnX/6M6Hm5uHHQo2NtP7oR7T+6Md0/Pa3KGE1CiMIArMKE3n2uim8cP1UZhUmohMFmlw+Xj/QzrpjXdR0eTBIcKpYwQuG3/Nqh4MXjj4PQO5AFlJIvQ+dsZRMo/q34CYGUICslACIAuPZx9H+RlIGVSPC6e7phEKFDK5dq25F6ggEwUSNEuIwUVJ90NziZcsLm3n6th8NiyA5KpAsbCRe34qCnvYHN7Dm1Lms3ruVsCTi8AWY3eWh/PSzkKMCO5/azZJf76ApmIIsGTGIas3SoQNBelo8ePuDLP3HXlUECdA1JZabC6M80NFLR0jdoyXtvbQFQh/nKaKh8a1GE0IaGt8Cxowdi1UngiixaecOLBPUlm9Hfx8hRY0s5LWEaXzqnwAkJJyCIhiJ0ynsT61gzClnDp8rt/oAUiTM/W+uoqZiGwBek4FtBRmUVVmpN6ht7Pm+A++btno38VdfjWXiRGSfj7af34YyFIEdWPHa8DH9zz1P0zXXEh1875DVSblxPHn1JCp/PZ+HL5/I/y4cyV/OHcP9l5axa9yb3G/4F21KHO0mH7KxB0mWyK/Xg9rzht2Rj9OjCp1H5RgEZKqT1TbzmfJKDrflYZSNiBJkyYkMbmmhe9ky9eLOUQC8LEQxRoMUWw8SCR5k17K78A30IwgScjQMhBgdo3oFNXdYOVhXz6EkJ4ogkJ+dz8yBMPr2HrbctZInf76Z3VvdREUDTl8zp59u5JrF88gdl4AsK6x9/Agv/XU3XY2DKCaJF2bZeSBbQBYETolz8PjoXKY4rUQUeKS1B4BAVOawx/8RnyUaGt9ONCGkofEtQBAEppaNB6B9wEPXgvkA9K3aR2KWOlcrSS+xbns2sqcXSTJhsSyktmYSBUoH1oUlJOWpqRkxEqLswDZM9VUIgOiIJd7mJCqJ2L2JjN9l5ohgIUfsZM32ve+7nuF1SRKpf/kLotWKf+9eXE8+haIoDKx4FQDn+echWiz4du6k6cqriPT1/dc5bEYdc0clc83MPC6alMWpmTK2o2o90FbHCGaOfByADG8Gln7Vl0c0FDEuNoqARJOxh2Zk8u0e+h0xxCq9xLjrsbtVkVQ6upQ2bw2r3/grNDSiANaMqXgVmTWEGeGtxVW/kYhvDSADoChRwEB6NJFRdlUIbQtkcSxNbdOffM4FnPXXf2G77Dr2jv8xBxtsBINg9nVRGtnGhXedQe6Z09UI2EVFGEwSvS0ePH1B+h0S95xioypFz0lxdlZNLOSZcXmcmujk+1mqL9NTbT1UewOcva+W8/bV0ugPfpyni4bGtwpNCGlofEson3My+v4eEATeqKmhbd5clFAI72G1vT1OEogoMXRt34yiKBzan017exGRo6exatMS0k6agiDGADB9z0ZGVlcCULXgfGb/z28obO9FkBVyOq2sqiml3hNL24H1yB9SvGvISCfptp8D0LN4MZ4NGwg3NiGYzaTcfjvZS55BiosjcPgwTZdfQaS7+4TnUhSFiuf/jKRE6LBZGT92JQf9AQDyu1MQo2qqKdk+nuSQOoPsX7JaOO3OV18O50Y2c6hdINmvTrSvfe11tnYtxdRTD4AQl4todPCaEEanF5lvbn/PGgRdDibzPErbzcwJrkOnU/DipNWvRpumXfBdppz3XY7v7WZNTRaD9mz0oUFKjjzKKYb1TL33f9AnqAaSsqKwKeJn20Q7ClCfpOOhU+wY4ow8UJLNkrF5jLNbhq89N97BCIsRd0Tm5F3HqBz0IQBtwfAH/g40NL7NaEJIQ+NbgtFipawgH31fN4qi8FZ8PJvmzOFQ3WF6dKoHTYJOoLmyGUEQmD17HgZjiEDAjlidwLadazCllgKgj4YxhQL0OeJYFpfJY6KFsdkFTK9pISqGUMISrzSPJrlpD3sbej50bTHnnYeppATZ46H1Jz8F1Boi0WrFVFxM9lNPoktKIlhTQ8OllxJubf2vc3iCEe54diNj2p8DoCVL5IleE2EgwZ9AWpMfUBClVCbEq51hXUlGKsISduMgTYmFiEqUS4+9Sk8wDwEBJeBG8bQjCEZyvapgMqaVE0bhZUJMat9ApKUGgLi4BEZE8skfiGHGnqfJ0R0nqVyt1THNv40JZ5zLrMt+RDBYxmM/28Kqhw7hc4dxWsJM3Pt3cnN1ZN79f4gGA2+5BrnlaCNjtx7me4caeDNd5KFz4pAvzmZxWR7bJ4/krKTY/zJLFAWB6zPVLriIAqNtZlZOLGRqjO3jPVk0NL5FCMoH9a1qDI/YGBgYwOHQbOo1vt74PYM8duuN9BnthOOT3/OYUdGhl41ElRDWFCe7IiKVsTl81/savi415WLWhZGqexGCLQBYZi/gBZ2D6OgyXu06Tvttt9MWK/Dq7HSy6o0ASKl5XPPr32CL/WB/G9/efTRecsnwvzMfehDbzJnD/w41NdF01dWEW1vRpaaS9cgjGPNyATjY4uLh1Yu5Rn6UMS0uvGaJX2emsSosYIgamNs0h6RjdaCEKUo5h1JzIQB34GUTUUZkRjg0KpsF8TaK2p4jsCOEiIip5TixpkLOvupcXJdeAIqMdd6feN5qZ6m/nvO6VlBUNonM400YNr4FgC45mfhrriFWfA2h5k1In4D77FfZ9WYzVTs6UIYiZLZYI4WTUihbkIXSUIOxoICaUJTf1Lay3vVOPZRDJ/K99ESuz0wkRv/hjb6BqMzPqpuJ1em4LS8Vi6T9vavx7eSjvn9rQuhD0ISQxjeNmp3bePWuPyEbzRTNW0Tt3n0MOhwo74ouKMCS2KmE2yNEsyycHbOBxONR5KgeISpiaqtC5xkYPn7T5AXcfeVl+OfNRfF6+fV3JW70BDnclE9Q1mGNjeP0m39C1uhxH7i21p/9D+4VK5ASEijYuOG/jBbDHR00Xf09QnV1SLGxpC3+P9b6K/C5niZXaGPSnn4kBbY5zVwfp0ZGpndMJ6fag97TjyDGc1rx6dj9afQhswgPAqA/KQ23QeAOv5/qymeIDyUQDvUzxjyXc392Kv0P3EvvffchJRQRmv5jLhI8XO84wplZyQTuvhd5YAB0OuKvupKEG29ErF8NL16BIurYl/M0OytMyBH1pTZzVBxl87NIL4xFENU9r/IG+HdjJ0s7+5ABnQCXpMZzZlIMk5xWDKImZjQ0Pi4f9f1b8xE6AZqPkMY3lYLJ08ifOJnju3dil4Ocuf8Agc5uQpf8kZA3ShQZWYjili0sVdxITT6Wu6aTWDTIRR01eF1B/JkF6Hs7MPd2oEQjFNQfZpM/wtzTTmXgpZeZc0Bm6zw7N0n7eKRlBt4+Fy/+/g5KF5zBrEuuRG8yve/akv/nZygBP/ZTT31ft2l9SgrZTz9F87XXETh8mMYrLifx6jDBsTKj9nmRFFXErTSqL3pZg1mk9TnRe9QIlj1uMja/OjfsiUwDNENivEiTQSChr4fanQ8Rbx5JlAgnjzuX2edOp3FfBZ7HHsUA6HNnc78QJMYks+jYIXxPPgqAadQoUv/8J0xFRSDLKOt/jwBUBs5j+zYjoJBeFMuUs/NIyXXS4A9yZ2MnG11ujvuC9EXeeZ05NcHBr/LTybMYP7PfuYaGxonR/sw4AZqPkMY3mZEz5gDQeGAf1unTkKJh0oRDuMQoSZEEcqMpXBs283DISrosInoi9Oy3cE/CTAZtaiFvOD4F8/R5RA0m0rpaeKuplZhzzwNg6jGFdUYJuyHAyVl1jJg9D4DKVa/x5M9/QGvV0fddly4xkYy778a5cOH7Pq4oCoNCLX0/iyVQIiOGIfZBPVkvWHB61ILgQP4prHbGApA7mIupTfVHEvUjGJEmIyAQjDXwUrMLQZFpHREDwKztb2Cyqp1ijgIH42fms+xvv2H7L2/HEAgiGO14U0pYTpiZlevwV1QgGAwk/vAWcp5/ThVBQM/GZQi9tQRlC7v6ziIuzcqiW8Yx9wdj2GiKcPbeGqbsOMo/GjrY7fbRF4kiAKclOFk9sZDHx+R9piLIF/Z9ZufS0PgmogkhDY1vIVljShEEkd6WJpRSNV3l276NvAVFNIZkFEUh1O2j2Chxv2zhuyEDQkRBODDA85Yx7E0tQxAkOru78eeVEHbE0r5/D9LYMYgOB6YwONv8bDFbKdPVETd6NOf94nfY4uLp72jn+V//nM3PPEYk9NGM/yIRD01Nj7B9+8ns3Xcxfb71dF8n0zHOjqBAeFOUzkoHSt7JrJ92Nd6ID0vYQmK/GSnoB0R05tmk6dVap1d61blfdkeQaIyZrHYXJUkjMMtWwkKYMfo4nvjpTTQe2Ef2UL2OPnsGqwTVhWhW634cZy4i/803SLjxRgS9no66AV79dyXeNf8GoCo0j/Jzx3DBHeXsjRcp336UHx1rZseAFxGYE2vnn8WZrJ1YSO2sMTw2Jpex7+oA+7Q0u5v5xVu/YNGyRfgjmpeQhsaJ0FJjGhrfQsw2Oyn5BbTXVtFt1GEQBII1teTkxLMv3E6xyYRNjBARdMTqRK5VjJSHdPyPwQdNXirtJmqKZ3GFu5ZAazOB9HyKmmvZ7faTNX48nk2bKGpRWFKazZzWI5gOPkPOTY9yxT8Ws+HxBzmyeT27Xn2Z47t3suDGH5JWOPJ91ynLEZqaHqax6X4iEVWQBKMmDrUXM72jlWnFR+mVbXQfdOA6ZiO4JZHVjqUAZHuyMfaore2iPg9bnAezS22Zf1PUoVeCdE3IAeDvk8eyfVMFeMFt7OHwy/sByItLJmH/cUBAnz2TVWKUXKvAKcufwZCWBoCrzcvWl2tpOtxLjNRCduI+FAQKvv+/9CWl8IOqZl7pVP2Psk0GLkmN54LUWFKNhs/ld9vh7eCBAw+wrGYZSiRMVjdsbd3K3Oy5n8v1NDS+7mgRIQ2NbynZ48oAaKqtwjRaHaMR3L0TxekmKCuEJT+7p+4hGGtEJwhMNOp4NmJjXERCHAzj2+/hHn0hbVn5ANj1BtYuWwpDEaaiVoXdhgBeQWBUz0oI+zFZbZx2062c9dP/xRoTi6uthWd/+TPeuPsfDHR1vmd9Xm8te/ZewPG6vxOJDGIy57Kl4woObp7G9+u2Mt13FEFvIuGkLNKm9CHoRbyb3+LcP28jq0shazATnU91tpYMxWTGtyCio0MOUYdMUoIDjDpOS3AyKc2Ct1k9VujtQK/TUy5ZKdqgOmdLicX0OOOpRmbRlBEY0tII+iNsebGG5/9QQdPhXgRRYHb+BgA8Ixbw40ED5TuO8EpnH5IAt+Yks2XySH6Yk/y5iKAefw9/2/U3Fr6ykJeqXyKnJcy/nzHxl+cNzDaN+cyvp6HxTUGLCGlofEvJGVfGjpefpenAPsqnTiVw8CDebdvIn381nW928HjW39je18vU7FX8fMTf0FX0kawXuUu2sCIU4l/6ILpjbt5MTGNUpoEpTUegqY4lBgPjMzIY1dpOWAnzpjGJ8wOdhA8tRz/+IgBGlE8hfWQJm558mMOb1nF0y0aqd2xh8jkXUnxyMS1tj9LVtRKQ0ens5OXdwbOv9nBVx51kSUOGihmT4NS/wGOn4swJER71QxpffJCkAS9/eFJmW3kPATkMghFRn0dCqAqA9YLavdU/Tm3nn+3t4f/++k8k4vDoBhlVNcCk+h7M4SgIAigK+oxyVkTVNN5pJSkcfquVna/W4R9U65JyxiYw44w4HE+tBOAa66ls6uoHYGqMlf/NS2OC0/q5/B67fF08dugxXqx+kWA0SLJL4eqD8ZRu7+b/27vzuKyq/IHjn3ufHR72HQTZFHdEFNTcd63UFsuysvJXVmpZ02JNU1NN+2Jj2VjTqNU0lZZaaWq5oKmEgqi4IQrKDrLvPNv5/fEYDeNebsV5v168gPvcc+/33MsDX849iyLq0Xh4YMnORhcQcPaDSVIbJFuEJKmNCoruiMHFlab6Ohoi2wNQv3UrcQOjKLE1EdZox+BwkNycz101t/HPrks4TgMGVeFGvYF/WV3xcIDmeBMHj7mzIrIfNXojjRYL2wZcRVZMTwKqVFYbnceu2f9Dq/ObzG6MeeBhbnv5bcK6xWK32di29FP+8+fHOLp3A+DA13c4fXp9w8Fl63m05EnC1ONYXAJg4gK4ey2O3J1gt2BxRNJY0YkXbndlb3sFo1Xgm+ucCVqj64CbfxZe9V0B2KzYiAp2o1wHrs2NlP79BSqEcxh7kyWPoeU2/IeNwHPKFBACFA3aoDjWCAtR3i5kLM4k6dNMGmuteAa4cM2sWEbd1538vYtQrA1kmKPZ5NGT4d7urOvdkeVxHS5KEpRdnc3zyc8z5qsxfLrvE7odbOSl5S68876duG2lKELgMWE8kau/w7Vfvwt+fkn6o5AtQpLURqkaDWHdY8lK2UZxcwM+ZjP2igrsmfsp9RAMKHsOa8Pn7A7ezBG9jm8dSZSEbOXGmj/TtTaAGL2Gj21m3nI0sQkb1Qfgy/aJ9NEX0j0viyPR0SSW+7Iv5BgA2oLtp4zD4F1F9LVFKAH55G8NpKnCyKHlEXTu04H27axYvx7CSHs5KFAQfQshN70JeleasipRf3AOa6+3DWVTwDaOeFTw6o06nv0qkGKz8/88jb4z4W6H0FT0oFwDe+12/KkA3Ik5lI6q0+OieCEQ9MVI9Her0Hh4cPzd+c7y/p3JMbtSZKlhcIGF48216E1ael8dTnWsB/Mratiw5SjfpTuH0i8Ku4W3OodxS6D3STM//xZWh5Vdpbv4Mf9HNuZtpLw4h9hswe0Fgr45OjwrLUANKAqugwbic/c0XBMTLtj5JemPSiZCktSGhcfGk5WyjaN70gkbOIDa1Wuo3bARj4RxeG8q4q7G21hfEUWa66f86AY/udswqU8TFfoSmn2++GhVnnGY2GK18ay2EfVYA9v9A8nv7MWYfSnoNJ50KzGziyJ6NhxA1B2nSdNMdfVOqqq2U1mVQkODc3i7V7RKVFwM+ZtcObRjDwd2ZJGdZiXe24UILyu5/Z4n4eq7EDYH1atzaN6cRIBhPwKVLVrB0sYVAAQ1hbE33A99ZSkobuiFJ6H7AyEQVtuaUHBQGOmcS+jq/bupc9cBUGYq5ck/fYBGa0QIQc133wGgC+nDV5ZGENDZoqVz/yB8R4XwdGEJ2/c6W51uLVqNv7WCGtcgnrz2AfxMF270F8CKwyt4fcfr1FhqAOh9yMEzqxyYm37ew4LGwwOPG27Aa/LN6MPCLuj5JemPTCZCktSGRfbqA0DR4Uw0198Gq9dQt3Ejg++czq71uXhrDYyoDGLUdR9h2DyXDdqdbDTrOGT5M096xuBXMRt3jYbhqo7uNg1z1HoOlTZR1Kjjk14jufbAVryaG1nBGLJpT/iqgVT6tV4AVFH0BAVdR/uQO3HJ+J4462vktxesL46mrNmVbWXhbK9zIa4zlO8/hu2HcipzC/DSfQjAgWofMkoPcmy4c76c7jneziQI0LkMJsiahi5wCABxqR8R0yWRXa6htC/MY8CPW1hy0wR0AjrFdcGodU70mLnsJ0R2NqhaCIxlA1Y6GvQMntWDZZomPjuYjU2Ai0blRn8Pnt3jHKnmftVMuIBJUIO1gVe2v8Lyw8tBCLpVuTN5vwcdNx8FQB8RgXnQIEy9emEePAj1NBNVSpJ0ejIRkqQ2zOzlTVB0DEWHMyk26jCqKs2HDhHaUMFWo0p3QBXhBCf9jbn/t5TrPr+L4oYMCnQwK+gwdxqn0zf/BUK0gfhrVd4XZubbm/iy1oojrYalPQfTq/og8bk57KEz2YdC6GBKJjg4CA+PeLw8E/D06IMuayMsvAkqnS0sFcYIlgZfx+AwP3yyNlFZmM+Ob74i9ZtlGFQXNEoF/xe9F4Ad5aHkhJkxN2jpdtQL74JyALTGq9DoO+KXeAAlR4e1toiwgjReKs3gzXYqHctKSLlrDLo6PY3aRqYOmopwCHZ8vgvH3OfwALT+XUkz6KkVNsw9vLiu5JfFXsf4uvO3Du1od3QdVB4Ggzv0uuOC3JfU4lSWHlrKxryNNNoa6ZwneDzJA9f8CsA5FN/7rrvwf3g2iv7iDMOXpLZCJkKnIZfYkNqKqN6JFB3OJGf/Hnr1iqMxNY3ajUmoPbtSkVqNt1alOKc9ITs/YnTXfry7MwN3Swdq9Vks8tbzo/kvPFQ6GL+62/FAYbbGRLxNy7OiEVLLSY+JJr9HENfv20Kd3Z3du8bi5TmE+F4DUI9thRXXQ0EaAPU6H/7acANf2Qcxe2QnZg6J5OimCHYsWUph1WEcwk6Tox4wMC9zACaNnQbhTWRuNZ2yg1vqpOo7ozEmYPI5jEdZFwC+MJqI8omgW3kOTy96FzU0lGXxncEIoQaF3A/WUrSnAO/Ur3BrKgO9K/pO4/lGWBCqQo6HilaBcX6e3BnsS38vs7Mz9Za3nCftfTcYf9t6hCX1JbyR+gZrjq5p2XZjpieTvqlEsVWg6PW4DhqI96234tq//286lyRJTnLR1bOQi65Kf3Tl+Xks/tP9aLRaJg8aS+Xct3Ht35/cJ18l8x+7Ga3XU2+vIcb9TlKveZW79szFx+jDrZEP88+M52nSWDA4HDxSCp1q38bf5nw8U+Nw8Dca2abasQeYUDq5MD5zK75VzokR2xnquLZ5GQGUI3SubPadzINHEgiqL2BMCLRX6sjfvw+L5ZclIlRVi15nxmEtw+Jo/X+cQxHYzB4Ikz/uzdegqCrhvf9Nj8NTUVC5iVrco83EHvie29d+Ta2rK2vHjkFxOLj2m28xNbV0uKHZww/v3rOocw9ggqjFJcyNh8Z35lp/T/z0ul9OenQLLL4aNAaYnQFu5z9E3SEcJOUlsTJ7JZvyNmFxWFAVlbs1gxmxuRp1k7OTudvYMQQ9/zwaN7fzPocktUVy0VVJks6Jd0g7vIKCqSwqpDzQDxWo37GDPv563nR1MMoicNW4c7yxE93X/BV9O1/Km8oZ2bEHg7yXcf+qWZR55PByIIw038+koofwtcTirqq8his/OKy8UtJIc3UzX/UYQIx/EYOz0slvNvO+mEKct4X9oiMZqdncXLcEg8OCvQyyT8SnV40EBXSiTo2mrj6I0V5ziTIkU2LohWXCPJ7a8iRHbQW0r21Ph6aOuJd1QFFVdC5lhNj8UFBJxUaRIihrZ2ZX1I2MeegBNi9+FRzgUXEciz4ImwvUuLuSEeiHR6fxjKpyZSMWrMA/RnWhfzvfky/elrnOz3FTflUSlFebx1+2/oW0EmeLGEIwoTqKKTuMkHpiugFFwXfmDHwfeOD8RqFVHoWDqyBnM9z8KWjkr3tJOhX5zpCkNk5RFKJ69yX122Ucy80mJiICS04OjRs20LlXFHnbygnTaDgmZtG7+R56NJlJ1WtILUllUsdJ3Fv9FF9Xf83+0FX8YDaxL/w9nsoLQqmbQ6TOxEhVR5xDw5zGBg5uLyOrgw95fUYzNDONdtXlpFWaUBsPEtuYjeqw4OHmT4AShlnnhY9vKE2h0ezYWQYCOnmlEm1MRigaAu+ex7f1R9ltPIbJoSe8rCs4BHqbMyHxjt6AV/4EAJZhoVO4J+kGlSCtloPLf8Lh8EQBGlz789Gse1gRrCBUBTerYO2mOgBWCSvtvEz0jfQ5+cIV7YbD60BRof+D53XNhRB8lfUVr+14jUZbIyatiTt8xjF84W7Yc9C5k1aLx9VX4z3tbowdO57rgSFzNWx+HQp3/rI9LwXCrzqvGCWprZATKkqSRFTvRACyd+7AfPU4AKpXLOfG8GZW4Rzl5WEPJNd0I/H1ziQhNe19yNtBTJ8ABhaM5K6av+Cu+lCo0zIropQfQ2dx2JJKo0Pgq6q8jytTHXp0WTU4dtWwqmM/1nTpg1VRcJhcaYjqRmTkOEb5TCXOZzjtY4eys8mPHWnOJKhLgpnhvv8CQLnqIaz+nZif9g4AHfP90Qkdpjp/FFRUbROhLlY0NjOlONiKjeoA5yO7DrtqOFS9HQWFcmM9Cwd3ZXk7FYNWZWqwD+uMPujtUKyD/diZFB+Kqp6iJWbTa87PXa8H74hzvtYVTRU8tPEhnkt+jkZbI/EB8Szp8DKjX9wAew6iGAx43XYb0d+vJfjVV84tCXLYYf/X8MEQ+PwWZxKkqBA+0Dn7tm+Hc45Pktoa2SIkSRLBHTth9vahrqKcihOzTBurNhC38jt+ME+lsv4avFQNOVV30auPBmqTSW0oQPxrBNHaSJJ5E/1+b5b178hzjiP8qJbyuZeeDW4fMOtoN9rV30egXs89ipFBdh1PVzdQvKWEvGh3Pu8zkrEHUvGtrWC3oZRyxUGQphtH08sA8AxwYdCN7Qnd8xDUFYN3FMWh1/Pme3dR4FaEsVklorEz6MCl0bnumWfkJnwKBwPO1iBvTyPZ7ip6q6DLsVIcZudIqy2RHVHMWh4M8eWeUD/89DpKvk/HCiyxNqEocGPvdidfsMJ0OLjSmWwMfvys19fqsPLD0R9YfXQ12wq2YXFY0Kpa5vjeyuB0G1VLHkM0NmLo0IHQBf9AFxJybjeusQp2fwYpC5yPwgB0rpA4Hfo+AGY/HMKBqsj/eSXpdGQiJEkSqqqh84Ah7PjmKw7t303PxARcdGtQ7Bae4J+k6jNQbLMJdbhS0PQQWmU7pVrId/EitCGbIN0BiqydKcpo5D3XVLYaTDweEE6ptp6/RB9kSNWj3Jw7m1BtBDEaDf8RZj6xNfNRVg2iQMuyHgl0r8kjMecA+aKMfOsmXD1CGThwAH1GtEez/C7IWovQmtipHcV3Lz7G+kGFAMQf8kVjdsdYH4gq9GgNdsICcjBmXEMzgpVYqYz0BkWh55EGCgP3EFyncty1imcGPchwXw/ctRoALIV1WAvqsCuwVlgZEO1LiKfp5Au28SXn5+6TwC/mtNfV5rDx9eGv+WfGPymoOzH0XgiuKQvljp1m2LnwxGB4cB0wgJC356Ixm89+w5rrIOllSF0EVudisZi8oM//QeJ94OrL8Ybj/DttLpvzN7PkmiXoNLozH1OS2iiZCEmSBECXgUPZ8c1XZO9MJXH8ZPL/moJfXz0+EQX01v6ERTOdetsUilJHMizmer43LiVl/KuEenSiw+YiijbCPmUKsWMHcVVQdzaExPF/37/K7uIvSfK0sd3tNR7NuYqYxsl4a3XcrTFytUPPy/WNpKWUs69DIEfjAxictYfg6jLqTbn8uH85xtwsYktXgarn++JY9mbsJTW2CqtOEFaiENoYic1Fg2ud8/FUWGwqwYemAPAtVmyeepr9jHjW2dF6lBBc4sCu2Ok9MJbrAr1bXYP6HcUAbNc6qLYKJvUOPflC5W2HrO9B0cDgJ057PXOqc3h6y9PsKdsDgLfRm1sDrmbQgu2wa59zJ40G89AheN5wA+bBg1HUs7TcCAFH1sPKh6Eq17nNv4szAYqdDHpXcmtyWZT8HN8c/gaLw7lQ7PrcDYyJGH3mY0tSGyUTIUmSAPANC8cvPJLjR7MpdDXgYnLh+E+NmG+fR2XyywTZ8tDr3iNesxqROYusdrGklKRyY6ebiRnflZ9+2kZVDeQYJhIZ5ocBWDzmL/zrjh18FltOmV8tz0cnE1eTzp3H7idcjSZAVXkbVw456nn7UA0Hi/V82yORLnW5DMzZT31DIysa2rFT3IS+4BglVTqOBdaQHVKPAowWA6l0d8OlLhxV6DC5q4RVa9E1e5OHnQ+VZsriAkAIbgjQYdiVgQPI8s3iyfgnW9XfVtXckgh9YW3EzahlVJdTjARLetn5uect4BN10svZ1dl8ffhr/nPgPzTZm3DTuXFf7H1M0PTi+IzZWAsKUEwmvG6ahPedd6ILCjr7zbHbYP8KSJ7/Sydoj1C4+k3oMIrC+iLS8jaQlJfEutx1OITDWayhPc3lg7HXdjunnwFJaotkIiRJUosuA4aw6Wg2B7dvJXb4jezP1qFbnk7j40kseP95ntB+hYuaQz+3x3i1+Gbe2abH2t+G3qSl++AQ0tYcI23NMSJifVEUBY2i0KHTEN798EPmXu3BT90spLs3kd59LtcUxHF12W2E6Yx0VFx5D9DUbse4/RO81BxsqPxEL5LoR64SAoHBWH2KSY10zhx9Q+gEmtZnYgjsgUuDs09Ne2MeHiV9sSF4gSYqYr1Ar+EpXxcc67+jyu6g2FRMrz69cNG1XgqjZt0xsAnyXFVS6+1MiQ3DqNO0vkB5O+DIBufSG4Mea/XSrtJdzEufx47iHS3bJtV15pbtBnh/IYUlzgRK1z6M0AULMEScQwdrmwX2fgmb34CKI85tGoNz8sZhf+ZIYymvr7ufrYVbWxer7YSlfDDuSkceGRrN8M6BZz+XJLVRMhGSJKlFpwFD2PzpYooOHUREPUi5VwEVTZ1J2JZDScwdDNzflxWunxBq30Znl//wWn13tj33Le16dKG9i5ZdGoXSozUc3ZiHyaRhR3I+IfnBqMCsNdVs79SeDvUOMj1LWRmSzg/+mdx45DYGNvUgVK8ACdQ1x2PXrKNOs4lM10C+iBpMj9JsOhwvQqcPYlR+EIqvQmSalkJzd8w10QDEGFViLOEALKaZ3dEuOAJMPO2po3HN19TX11OnrWOn306e7vx0q3pbS+ppSCsB4NUm56i4Uz4W23xipFiPyeAVjhCCXcd3sTBjIUn5SQBoFA1DffoxJcmO67c/Yvuv4q5XXUXwG6+j9fI6/U2w25yP3vZ+5fzc7FxoFZO3sxN072nYXLyYt3MeH+//GLuwg1CxN4Vgb4jAWt2TIFMUN10Vyt0DwnEzyr5BknQmMhGSJKmF2cubiF69yU7bTlP9t1jrcnAYYtm6cRCDIrxJFp4MrJ/Bl14D6NXwDmZtBgPEQ1Tumk2Tow+hGoWjdsGOZUfo56ohTlEQ7iHUuHqjr68g/mgBk7UeaKoVnvLuR4NrGp92+oDk8ljG5t5IgsYLf52GJsdotI7RBFTXMDBzDylBK8kLttO5sjOBjYFQBkewovE2YWjKp4PqTrTqTC4W0cy//FVMYUaml+dQuWWvc6kcN0jySuKq8Kto59Z6JFj1mqMg4HiwC7sKa+jgbya2nUfri1OYfqJvkAoDHyGlKIV5O+e19AHSKBomRk9kWlMfmv/2FtZCZ2duz5tuwvP669C1b3/mBKipBra/7+wAXfPLmmaYA6HfA9B7GhjMZB0v5U9r7ianPh0Aa20XmkuuRufwY3zPYCZfH0qvMK9TD/mXJOkkcomNs5BLbEhtTf7BfXzx7BMoqopwOPuaKKoXOter0bgE8p2uib1aO9eEJfFM2TL8hXOYe7FlDNmNd7GrUY8AIvUK7hqVYpuDkNJv8di9mo09FA4m9GRe3Sp+cB3Al9FPs+nw12g8t6HVVhNV1ouxxVcThx8BWqVlJmUrDrLUMtIdCsKmR68tpl5fhF1tvRagQ2ip1epw0Qr0VktL/JFRkbwv3qdG1PCvUf8iISihpUxjZgXli/aBCn/1hXWlNTw5thPTB/9P/5/Pp8DBlTR0Gc/T/n78cMw587OHRcdDWZH0aPDGUNVAY6pzlmhdcDBBf3vh7GuCWRudyc+Pb0CD87EfLj4Qewt0Hg/t+oCqUlxXyl/WfcS2sm9RdZUIh46mwpsIM/Tlhvh23NQ7FD83w3nfb0n6o5JLbEiS9KuExHQhqGMnijIP0Ck+kWO7d9Jor8RS+ylaa1/GGBPorNfyQ1EXxkat5sEKD6bWVhOoX4NNu4vNzMStsSvZVkHXxABGjm6P5rALuXeuptdhwU/XeEEd9KnfxVQPPb4R4xA7Yqkzl7DPvI8jHecS2dSexKKh9GqKJEynw6xR6eLwpwuc+K3lgcUSxWFNMQVqBQVqNTbFgqrY8LDbwA4C8Pf3Z+TIkey076QmpYZw93D6BPZpqavDYqdqxWEAarp4s27vUYw6lRvj/2fuoII0OLgSgcJd9RnsP2ZHVVRmWgcy6NMMHMX7cACNJ3b3mjIF/0ceRnV1Pf2FbqiAHf9yzgHU4Ewm8YmGQY9D14mgNdBoa2Rt9jd8eXAlu8t2gOJA1YHG4cU1AU9x44i+xLbzOL+lNyRJakUmQqchV5+X2ipFUegz/gZ2zXmc0I+X0O2B+9iy5huKXfTYmpJx2LIJcxnH/znC2VE8ljeDvqfQ7S6ml3xKO4p5wvMZDgfeyrqc8RQcqqLvxCgM8b2wuRrxqG8isKqEGuGCp1JHYtkukv3iYZQbvrtdqD/egWbHRNJVyIjxYLxNy22ZzVQ2O9AoCgYVBFYcODiutVHo0NPo0pHrb7GTm/UwQoTQKeZ9jEYXTCYTHh7Ox1tPfuscITap46RWSUPthjzslc1oPAy82ehcDPbm3qH4mFu3rDR//zQG4BuzC/tVO31du/HITz6wcj0OQBcWhtett6D19sYQ0wljzBlmg67Kg23vQPonYD2xoKxnGAx8FHpOaVkTbGfJTv685Wny6/JO3BigqT3jo8YzZ+AtuBnk4quSdCHIR2NnIR+NSW2Rw24nZXQ/dOFVuGxVMfXoSXbBMfYFeGLValBUPVrjMFR9Z46b8/AfY2fGgBtg9eOw5wsAKhzh/FAxCzUklmsf7EnOkzPh+82s7Kulczt/rtGm8l11Dz4Mvp7tcYOwaTTQaEN3oArN8WYA/B0qtzbqGWrQ4qN1zrFTb60mueFHjgaYUBxaZkx/kILyxygrW0dY2D10iJ7Tqi57ju9hyndT0Kt6Nty0AQ+DMzmy5NVS+o/d4BDUjWvPmO8y0KgKSY8OIdTbOaJMCMGOba+T8MOLWIEbwyO5R51Axw/WYS9zPsbymjIF/z89gurSehTaKe3+HFY+8sskiAHd4aqHoOt1oNFitVtJKU5hdc5qvj3yLQKBw+qOtSqRBL9hvHndCALcjb/19kpSmyAfjUmS9Kspqop4OoJqRyqNvRx4frKLkEYTXtV57A4LoMIM1oY1qNbd+NoHI75qx4+VpSSOfw99p6th5SN4Nxxlks/jbDt+O1+/2kBotR0vIOGAjdUhblwDdDKW8K8eXai+qhtry6rx12rx9Wtk2aojrGqspVR18HfXJo5F+zMnxo/abw/iqvNA5xMJFBHiGoqLVyVlmesBCA668aS6LD20FIDR4aNbkiBbVRNlH+8Dh8DU1YeX852Ppq7tEdSSBO05voe3Ut/k0fTvANjgH86bxROxLv4cO6CPiiLohedx6dXrzBdTCMhPdXaEznDGQmhfGDIHIofAiRaqHcU7eDTpMSqay1uKWqp6Y667jleu6c01PYLkIzBJughkIiRJ0imFRo0jMzMdSyc7pX+x4bGsHpetKom5xzni5crhAC8c1iIs1s/RGHqye/0gjqSVMuCmfkTdn4x9xSy0R9YwwH0xOU17WW+8l8D2OkKKd+FaWENjqBveGoW6gA7U/HScqKM1HNtXTmGdlWjgXoMLae00JJfXsvxwKXU7v6FrRQYdzfEcPbEUV88qLw5veBtcBD4+g3F1jW5Vh+rmatbkrAFgUswkABxNNsoX78dRa0UX6MLeOG9W/dvZwXn64CgarA28kfoGSw8t5ZraerpZLNjQELMxlMaMzwHwnnoHfn/6E6pef/oL6LA7H39tfhOqT8wCragweA4MehRU5xxFzfZmFu/5nPl73kLgwGEzY6vtir0mjtt6DuHhkR3xMMkh8JJ0schESJKkkyiKgsFnLNluRwk6tgwX3zqqb7XTMEDg8Vkz0cestKtu4JCfB/k+7tibd4E1j1rHtaz9pwWdJYe6BpXuHtEMDcgmwpjKzf45fK//E9siJuENLCw9cbIFR1ud2+CiJaZvIPFjwnFx17Mlq4x3Pv6WTuXp2IGDOiNWpR4XxYivRke2fi0AXsdGYw2oRxf4SwflFYdX0GRvooNXB3r69aT5WA0VSzKxlzehmnWIG6J5ZPF2AKYkhlHu2MPjK18ltyqHYYfsPKdWgw4qdrvQeOAIislE0N9ewOPqq898AfO2Ox+BlWQ4v9ebIWYcJNwDoQnUWGr4dP+nrMz+jrzaYwicPRSs1T3poLmbsT1DGdctiHDfM3S2liTpgpB9hM5C9hGS2iIhBPefmLG4oymc0UePE969HI3BAQJck1TcvtGg0bmR0cGHfJuK48Q6WaquM1pTPxTVjLYumSiPvQwIScdkPY5DqGyvvZmdDTcg0KBTGtFqLQR0jsIn2JXQzt4ERnug0fyy5lZ9VSUfPTaTxppqXEQoFVExWA1V5OvDuK1/KXbHP9HXtiM8+QUUFPRhbuhCzKgeev6e+S4FliJubzeZznURNO4vBwEaDz2eUzozbe1+th0px8/TgmfkP6moyWXYbsGEHQpdo8vxim6guVpLceU1uI0chdvIkej8/U9/4Rx25yzQm14FYQejh7MFqPddoDPRbG/m430fs3DvIuqstb8Us7niZx/LS8Nm0D/a96LdV0lqS87177dMhM5CJkJSW7UmZw3P//Q8tZZaDKqeEWXtiHfJxbuDc6ZjpVLB80sNxnSFYndXMsL8nR2ena+i0XdHa0rExdOH3iMD6Vr1Opp9zkdLdSUGUkzDGO6+mjpcMf8lt2W01H+zWppZ9vKz5O/fi95hxOF3O5X+6QgBX9s68+erXsXbWI3F8ghxJUOwZVaA48z1conzxzAmnOlf7mBLVjUozbiGz+Oq7ONM3SjwrhGYfCyEj3T2G7Jd8zHa3hPOfFBrI+xbDj/9A4qdEyzS/SYY8wq4+iCEYGPeRl5OeZXiBudEi/amACzlQ+noEcufhvVmWKcA2QdIki4gmQhdIDIRktqy4vpint7yNCnFKQBEGsKYoonE220Lit6ZEOkPKHj+R4tSodAwcQx5rq4czdjlPICiQaPvhtbYB3c/fxK6FxFxYDoGxYrNqtKk0WFWmyme8AWBcWNandtmsfD1G3/j6O6dKGjQuU+h0aOWBnMe7cMjITifMO2/qGjy4Mkfn0GnNTIrIYzJ3h5oaq1sPbCJ5roGIoztaecbhj7cA2O0J8fdtNz90RYyiyygWIm3/ZsHMo4RfNS5tIYuJJCI4cVoLIXO4ewT3zv9BWquhe3/hOR3f5kMUW92LoYaOxmAzIpMXvzpVdKPO9cgc1jdaS4dS0/vIcwY0pEhMX4yAZKki0AmQheITISkts4hHHx56EveTnubWmstWkXLA7H/x1BzM7m5HyCEFWFR8Fyq4rJVRRccjOOO20jPPkhB5v4TR1FR9R3RGuLQu/vQuXkV3b3W4aV1to4c9hpI9EMrW87ZUF3F6vfmcnRXGqBF73YDqsaf2va7aLI0csMNY6iovB+brYZS9U8sSu/KoRJnIuNrNtCng4UtTU+goPLPoV/iYwwit6KeFbuOsnL3cRxCwWBv4Jm0RfQqzAFAMRrxufcefDrXom56yTm784wd4Opz6guT8SV89yg0Vjq/9wh1PgKLuwPMftRb6nkl5W2+zl6CwIFwaLFUDKCXxw08PKw7iZGnOa4kSReETIQuEJkISZJTWWMZL6W81LK0RE+/njzd6x7qCt6jqtrZ2qE5osH7Pwq6IhVNYCDNo4ezv7GG/JaECBTVG1XfAY02DH9DBV1cUwjS78NrwiM0dZxIZnIyWz7/CGtTPaBBZ74Oo+JDzCg9G/cn4+rqyvgJFvLzF+Lq2pHEhJWAypq9xbyy5iDHyhswBH2J3jMVa20XmvLvOKkuscezeGD3csLqStEGBeE56UY8b7wRnaYW/tEfbE1w3fstrTqtWJtg7ZOQutD5vU+0cyX6bjeCRkt9s4Un13xGUtkihNbZSmSt6UG4chPPjRsgEyBJukRkInSByERIkn4hhGBl9kpeTHmRems9WlXLtK530delnrKCD9EpgFAw/2TCdbkVTZ2C6uaGuG482UYNh3Zux261/s9R9aDoUBAI0dCyVdH4oXMZRUhNAUPnjOXbvWlkZ2dz1VXRaLQvIoSF2Nh/4eszpKWMxebgm70HeGH3bTiw4Vn5CKVlAVgdzXg3ldG9pIhrs7fSqb4Ij7Fj8Rg/Hte+fVE0Gueq7x9dC7nbIGIw3PF1yxw/LfJT4euZcPwAoDiHwQ+eAxotDoeDV7Z+wheHFuE4kQA5rB4EWW/n3t7juDG+nVwIVZIuITmhoiRJF5yiKFwbdS3xAfG8mPIim/M3837GP1nvGY2H2olYJYseLnbq+jXQ0FePe4o7hq+q0Xz8KRE6HZ2HD6WqUweSclNpzC3BYNUAFhAWfv6PTFG9MSrtCa5xEFK+kh7/eIEaNzeyv8lGq7VicllEc7MFb68B+HgPbhWfXqtyzLYGBzbi/OPo06OORelv88C3Vq464DyDx4Tx+D20CF1wcOvKbXzRmQTpzXDt262ToJL9sP0DSFsMCHDxdbYYdRgBwI9Hcnli09PUatKdv1UdLgwJGs+zg2bi6/I/q9hLknRFkS1CZyFbhCTp1IQQfH/se15KeYmKpgpURcUhHAz1CeS2AFdqa51z6KhCh3mfF8allWiPO5MLoVEpdndgalbR2jVYNSp2dzdMVVaMlkY0jma8BkTh97f30AS2Z9WqVezYkUJCYioGQyYGQyB9eq/AYPBrFVN1czWjvhxFg62BcEMwoWn5jNrpIKYA0GoJee1V3MeNO7kyh9bCf25yfn3jIuh2PTgckLUWtv4dcpN/2bfHZBjzMoWOJubv/JDNR/dRYT2Kqm1ACA09XW/m7XEz8XWVa4FJ0uUkW4QkSbqoFEVhdPhoegf05oWfXmB9rnOZi43lxQzu8CwD27tx9Nh8amv3UdOtlJpuYK5sh+v3DtRNxwmqVHCOdT8x3r2hGbQK7l3c8QnJx+hVBJ8Mp2nk6+zZs4eYmG0YDDmoqoEe3f9xUhIEsGjvIhpsDXjUCf76Zi4ulhOxmky0mzcP88ABJ1ekOAOW3eP8OuFe57pf+7+BpFegdN+JA2ig0zhImA4RA9letJ2Z6x+m0e4cOadqwaT48+qg1xgaEX8Br7IkSRebbBE6C9kiJLVVDoeDurq6c/q5F0Kw9tha/rzlz1jszuxjcsxkZveaTXPdLnLzFlJevglOPABzNURzpMiVdRkHGabvRdySfWiam9B7WPF74zXcA92dHZLLDrHN2I3jnS2Y3SpQFA1durxJYMC1rc6fW53LFytf4fPGH7Ho4MGv7QzYL1BDQ/AePxGP665D3y7k5MDLsmDRWKg/Du0SnDM///QPKNzpfF3vBn2mQeJ94B6EEIKP9n3MW2nO5TDsjSG004xiev8+XNspEb3mDEtuSJJ0ScnO0heITISktio5OZmNGzcyfPhw+vTpg6qqZy2zOmc1j29+vOX7ULdQnu77NP2D+9PQcJT8/E8oLFqC3e7sFN3ggL3NZqb4/Imq+19F22hHmBU8Zt+FJqEdJbn/pEzJRVFAsarEmq7DHHg3lsJiHHX1WOpr2P3jMnSp+9jUDZYO1BBSJnhtfSDhsx/HbeTI08/RU37E2Tm6pgBMXmCz/LIqvM4V+s2Afg+AyYv6ZhsfbNnL0mNvUKvZDYC1Oo57uzzOw8O7ynmAJOkKJBOhC0QmQlJbJITg3//+N0eOHAGgXbt2jB8/Hv8zLS8BWB1Wrll2DYX1hZh1Zuqszrl9RoeP5tHejxLoGojVWkVBwWfkF/yH5ubC/zqpEcXWhDjF+qI1FQGMyMrErdlGc7WW0l3u1BUZAGcCUmeEGQ9oaDQovOB3NxPGPIRypsStaDd8PBEaK1pv9wyD7pMg8X6Eqy9ZpbV8lP49K498h92UgaJpQjg0qJXjeWXEfYzrEXzKw0uSdPnJROgCkYmQ1FY5HA5SU1NZt24dFosFVVVJTExk8ODBGI3G05ZbnrWcZ7Y9g6fek9ERo1l6aCkO4cCkNTG9x3Tu6HIHOo0OIezM23IfDVWbiHNV0fHLsHq1ESjXUEgEBcWd6fnDPrrrM/HrUYvW4OxTdLxGT0aJG4e0Xhwe2Ym19j108OrAl9d+iaqcIQna/42zT5Ct6cQGBbpMcD7+CutLdlk9/9l+hGWHv6LZZTOqvrylqLe+HY/3ep7R0fFoNWdvIZMk6fKRidB/mTt3Lh9++CFCCEaMGMHf//73c27KlomQ1NZVV1ezevVqDh48CICLiwuDBw8mPj4erfbk8RY2h40JKyaQW5vLg3EPMrDdQF786UV2Hd8FQKRHJM/0e4b4gHj2l+/n5pU3o1c1rBi7gMoKLebPbiVSlPCR9k5ybF6EmExc5+OLsVMncr3q2L9xNteWF2I48Ztrn380t7nasOHg7SFvM7z98JMrIQQcz4RvH4S8lF+2t0uA6xaATxTpuZXMW5/FpqMZGIM/R2MsBkAVJnp6D+OBPjfSJ7DXmZMsSZKuGDIROuH48eP07duXffv2odPpGDRoEG+88Qb9+vU7p/IyEZIkp6ysLNasWUN5ubOFxNPTkyFDhtCjR4+T+g+tyl7FnB/n4KZ349uJ3+Jl9GJl9kreTH2Tiibn46hrI6/l7m538+y2Z9lTtocH4x7knh738NmKb4hKf53vlOEowPT77qNKX8UXmV+w4vAKbA4b3fS+zDVG43ngOyb7mTmi1zOsoYm3TR1RIgaDzgS2ZmiqguoCyNn0y1pgAIoGMegJsjpNZ+OhctYfKGX70XJ0XskY/L9DUW2YtZ7MiHuA6ztMwEXncomusiRJF4pMhE44fvw4vXv3Zvfu3RiNRgYNGsRnn31GVFTUOZWXiZAk/cJut5Oenk5SUhJ1dc7+P35+fowZM6bVe8rusDNp5SSyKrOI9YvlX6P/hUFjoLq5mrlpc/kq66uWfTt6deRQ5SGCXINYff1qjh3L4+OPFgEKQ9mGxbuQv5oFNSceRY1sP5K/9v8rbjo3Xkl+nv9kfYmvQ2FZXh5ejrMsPa+o1Ha4nn8ap7L8sI28ikbnZm0NpuClaFyzABgQMoAXrnoBX5PvBbx6kiRdSr+bRGjz5s28/vrrpKWlUVRUxPLly5k4cWKrfebPn8/rr79OcXExsbGxvPPOOyQkJJzzOd555x3+/Oc/o9Vque+++3jppZfOuaxMhCTpZBaLhe3bt7Nlyxaampx9bbp3786wYcPw8vICILs6m9u+u41aSy1jw8fyyqBXWh4r7S3by8K9C1mfux6H+CV5uTv8bhp/asTSaMHFUcVj6iIUoEzV8mncNfTvM5PeAb2xOqy8mPIiy7KWAfDe8PkM1Ps5V4LP2QSN1dBUCQ6b88AeoRzvcifzKvvy6e5qHCd+6+m1EB2VQal2Bc2OegwaAw/HP8ytnW6VI8Ek6Xfud5MIrV69mq1btxIfH8/1119/UiL0xRdfcMcdd7BgwQISExN5++23Wbp0KZmZmS0jWHr27InNZjvp2N9//z0mk4nJkyfz2WefYTKZGDt2LM8//zyDBg06p/hkIiRJp9fU1MTGjRtJSfml301wcDDdunWjR48e7K/dz/QfpmMTNmL9YpnRcwaJQYktCVFuTS7z0uex9uhaguqD6HO8Dzqho0pfxXrPLLoWDeRvykdEq4VYNS403fAxB709eTvtbfaU7UFB4dHQsdxRWwcHvztpFFiNazib293HB2Xd2FNQ07J9UCcXIsOPkFG9hkNVmQB08enCywNeJtIz8hJcOUmSLrbfTSL03xRFOSkRSkxMpE+fPrz77ruAcyRLaGgos2bNYs6cOWc95tKlS0lKSmL+/PkAvP766wghePzxx0+5f3NzM83NzS3f19TUEBoaKhMhSTqDgoIC1q9fT05ODj//SlFVlQ4dOmDxtzC/YD6NorFlf5PWhKfBEz8XP/LK8wg7HkZUTRQKCqXGUlL8U0APPbx7s/+Ynf7NO3HRVnJAbyDL4Bxf72Z38NrxMgY0NrUct9ngQ4b7YL6paMeOhiAyRSgOnEmXVlVIjGnGPXAbP5Wuw3aitchN58asXrO4qeNNaFTNpbpkkiRdZH+IJTYsFgtpaWk8+eSTLdtUVWXEiBEkJyefoeQvQkND2bZtG01NTeh0OpKSkrj33ntPu//LL7/Mc88995tjl6S2JCQkhDvuuIO6ujr279/P7t27KSgoIDMzEzJhvG48DjcHh+2HqdPUYVNsaIUWjVXDgPoB6B3OGZmPuB3haNBR2rm0I7s6m9Tj28AF1rkAmAEwOhyMr6vnruoagqwOskUgGx1xrHfEkdLUGXu1M5nxMOkYEOpJkLuREN9GMq2fsrlwIzgHgxHjFcPVkVczPmo8Piafy3DVJEm6ElzRiVBZWRl2u52AgIBW2wMCAlqG8p5N3759GTduHHFxcaiqyvDhwxk/fvxp93/yySd55JFHWr7/uUVIkqSzM5vNJCQkkJCQQGlpKXv27CEjI4Pq6mqogEhO/djJ39+fISOGMHPXTKoaq5gWPY1eAb3IrMyktKGUBmsD3gYvqG5CVLYjtR7uN+qp1OhpsgsaLHZUjUI3fzMxAWb6RGmo0qRQ2byLWkstn+SsocnehKqojGw/kqldptLdr/slvjqSJF2JruhE6EJ58cUXefHFF89pX4PBgMFguMgRSdIfn7+/PyNGjGDYsGEcP36coqIiiouLaWhooKmpCb1ej5eXF4GBgXTq1AmNRsMDPMBzyc/x951/553h7zCp46RTHvv/TnPOgxUH+TDjQ17KWI9NtO432DugN08lPkUHrw4XuKaSJP2eXdGJkK+vLxqNhpKSklbbS0pKCAwMvExRSZJ0PlRVJSAg4KSW3VO5vsP1bC/azuqjq3kk6RE+GPkBPf17nrVcdlU283fN5/tj37ds6+Xfi57+PTFqjHT07siw0GFyJJgkSSe5ohMhvV5PfHw869evb+lA7XA4WL9+PTNnzryo554/fz7z58/Hbrdf1PNIkvQLVVF5ccCL1Fhr2FqwlTvX3MmwsGFMiJqAv4s/Zp2ZZnszDbYG52drA98c+YYfjv2AQKCgMCZiDNO6TSPGO+ZyV0eSpN+Byz5qrK6ujsOHDwMQFxfHW2+9xdChQ/H29iYsLIwvvviCqVOn8v7775OQkMDbb7/NkiVLOHjw4Dn9h/lbyeHzknTpNVgbeGLzEyTlJ51zmWGhw5gRN4OOXh0vXmCSJP1u/G6GzyclJTF06NCTtk+dOpXFixcD8O6777ZMqNizZ0/mzZtHYmLiJYlPJkKSdPlkVWbx2cHPSCtJo8ZSQ721HpPWhElrwqAxYNAYiPKM4q5ud8kESJKkVn43idCVTiZCkiRJkvT7c65/v+Uyyqcxf/58unTpQp8+fS53KJIkSZIkXSSyRegsZIuQJEmSJP3+yBYhSZIkSZKks5CJkCRJkiRJbZZMhCRJkiRJarNkInQasrO0JEmSJP3xyc7SZyE7S0uSJEnS74/sLC1JkiRJknQWMhGSJEmSJKnNkomQJEmSJEltlkyETkN2lpYkSZKkPz7ZWfosZGdpSZIkSfr9kZ2lJUmSJEmSzkImQpIkSZIktVnayx3Ale7nJ4c1NTWXORJJkiRJks7Vz3+3z9YDSCZCZ1FbWwtAaGjoZY5EkiRJkqTzVVtbi4eHx2lfl52lz8LhcFBYWIibmxuKolyw49bU1BAaGkpeXt4fthP2H72Osn6/f3/0Ov7R6wd//DrK+v16Qghqa2sJDg5GVU/fE0i2CJ2Fqqq0a9fuoh3f3d39D/nD/d/+6HWU9fv9+6PX8Y9eP/jj11HW79c5U0vQz2RnaUmSJEmS2iyZCEmSJEmS1GbJROgyMRgMPPvssxgMhssdykXzR6+jrN/v3x+9jn/0+sEfv46yfhef7CwtSZIkSVKbJVuEJEmSJElqs2QiJEmSJElSmyUTIUmSJEmS2iyZCEmSJEmS1GbJROgSOXr0KNOmTSMiIgKTyURUVBTPPvssFovljOWampqYMWMGPj4+mM1mbrjhBkpKSi5R1OfnxRdfpH///ri4uODp6XlOZe68804URWn1MWbMmIsb6G/wa+oohOCZZ54hKCgIk8nEiBEjyMrKuriB/koVFRVMmTIFd3d3PD09mTZtGnV1dWcsM2TIkJPu4X333XeJIj67+fPnEx4ejtFoJDExke3bt59x/6VLl9KpUyeMRiPdu3fnu+++u0SR/jrnU7/FixefdK+MRuMljPb8bN68mWuvvZbg4GAURWHFihVnLZOUlESvXr0wGAxER0ezePHiix7nr3W+9UtKSjrp/imKQnFx8aUJ+Dy9/PLL9OnTBzc3N/z9/Zk4cSKZmZlnLXep34MyEbpEDh48iMPh4P3332ffvn3MnTuXBQsW8NRTT52x3MMPP8y3337L0qVL2bRpE4WFhVx//fWXKOrzY7FYmDRpEvfff/95lRszZgxFRUUtH5999tlFivC3+zV1fO2115g3bx4LFiwgJSUFV1dXRo8eTVNT00WM9NeZMmUK+/bt44cffmDlypVs3ryZe++996zl7rnnnlb38LXXXrsE0Z7dF198wSOPPMKzzz7Lzp07iY2NZfTo0ZSWlp5y/23btnHLLbcwbdo00tPTmThxIhMnTmTv3r2XOPJzc771A+cMvv99r44dO3YJIz4/9fX1xMbGMn/+/HPaPycnh6uvvpqhQ4eya9cuZs+ezf/93/+xdu3aixzpr3O+9ftZZmZmq3vo7+9/kSL8bTZt2sSMGTP46aef+OGHH7BarYwaNYr6+vrTlrks70EhXTavvfaaiIiIOO3rVVVVQqfTiaVLl7ZsO3DggABEcnLypQjxV1m0aJHw8PA4p32nTp0qJkyYcFHjuRjOtY4Oh0MEBgaK119/vWVbVVWVMBgM4rPPPruIEZ6//fv3C0Ds2LGjZdvq1auFoiiioKDgtOUGDx4sHnrooUsQ4flLSEgQM2bMaPnebreL4OBg8fLLL59y/5tuuklcffXVrbYlJiaK6dOnX9Q4f63zrd/5vDevNIBYvnz5Gfd5/PHHRdeuXVttu/nmm8Xo0aMvYmQXxrnUb+PGjQIQlZWVlySmC620tFQAYtOmTafd53K8B2WL0GVUXV2Nt7f3aV9PS0vDarUyYsSIlm2dOnUiLCyM5OTkSxHiJZGUlIS/vz8xMTHcf//9lJeXX+6QLpicnByKi4tb3UMPDw8SExOvuHuYnJyMp6cnvXv3btk2YsQIVFUlJSXljGU//fRTfH196datG08++SQNDQ0XO9yzslgspKWltbr2qqoyYsSI01775OTkVvsDjB49+oq7V/Dr6gdQV1dH+/btCQ0NZcKECezbt+9ShHtJ/J7u32/Rs2dPgoKCGDlyJFu3br3c4Zyz6upqgDP+3bsc91AuunqZHD58mHfeeYc33njjtPsUFxej1+tP6osSEBBwxT4TPl9jxozh+uuvJyIigiNHjvDUU08xduxYkpOT0Wg0lzu83+zn+xQQENBq+5V4D4uLi09qYtdqtXh7e58x1ltvvZX27dsTHBzMnj17eOKJJ8jMzGTZsmUXO+QzKisrw263n/LaHzx48JRliouLfxf3Cn5d/WJiYli4cCE9evSgurqaN954g/79+7Nv376Lurj0pXK6+1dTU0NjYyMmk+kyRXZhBAUFsWDBAnr37k1zczMffvghQ4YMISUlhV69el3u8M7I4XAwe/ZsrrrqKrp163ba/S7He1C2CP1Gc+bMOWXntf/++N9fSgUFBYwZM4ZJkyZxzz33XKbIz82vqd/5mDx5MuPHj6d79+5MnDiRlStXsmPHDpKSki5cJc7iYtfxcrvY9bv33nsZPXo03bt3Z8qUKXz88ccsX76cI0eOXMBaSBdCv379uOOOO+jZsyeDBw9m2bJl+Pn58f7771/u0KRzEBMTw/Tp04mPj6d///4sXLiQ/v37M3fu3Msd2lnNmDGDvXv38vnnn1/uUE4iW4R+oz/96U/ceeedZ9wnMjKy5evCwkKGDh1K//79+eCDD85YLjAwEIvFQlVVVatWoZKSEgIDA39L2OfsfOv3W0VGRuLr68vhw4cZPnz4BTvumVzMOv58n0pKSggKCmrZXlJSQs+ePX/VMc/XudYvMDDwpE62NpuNioqK8/p5S0xMBJytnlFRUecd74Xi6+uLRqM5aZTlmd4/gYGB57X/5fRr6ve/dDodcXFxHD58+GKEeMmd7v65u7v/7luDTichIYEtW7Zc7jDOaObMmS2DL87W8ng53oMyEfqN/Pz88PPzO6d9CwoKGDp0KPHx8SxatAhVPXODXHx8PDqdjvXr13PDDTcAztECubm59OvX7zfHfi7Op34XQn5+PuXl5a2ShovtYtYxIiKCwMBA1q9f35L41NTUkJKSct6j636tc61fv379qKqqIi0tjfj4eAA2bNiAw+FoSW7Oxa5duwAu6T08Fb1eT3x8POvXr2fixImAs3l+/fr1zJw585Rl+vXrx/r165k9e3bLth9++OGSvd/Ox6+p3/+y2+1kZGQwbty4ixjppdOvX7+ThlpfqffvQtm1a9dlf6+djhCCWbNmsXz5cpKSkoiIiDhrmcvyHrxo3bClVvLz80V0dLQYPny4yM/PF0VFRS0f/71PTEyMSElJadl23333ibCwMLFhwwaRmpoq+vXrJ/r163c5qnBWx44dE+np6eK5554TZrNZpKeni/T0dFFbW9uyT0xMjFi2bJkQQoja2lrx6KOPiuTkZJGTkyPWrVsnevXqJTp06CCampouVzXO6HzrKIQQr7zyivD09BRff/212LNnj5gwYYKIiIgQjY2Nl6MKZzRmzBgRFxcnUlJSxJYtW0SHDh3ELbfc0vL6//6MHj58WDz//PMiNTVV5OTkiK+//lpERkaKQYMGXa4qtPL5558Lg8EgFi9eLPbv3y/uvfde4enpKYqLi4UQQtx+++1izpw5Lftv3bpVaLVa8cYbb4gDBw6IZ599Vuh0OpGRkXG5qnBG51u/5557Tqxdu1YcOXJEpKWlicmTJwuj0Sj27dt3uapwRrW1tS3vMUC89dZbIj09XRw7dkwIIcScOXPE7bff3rJ/dna2cHFxEY899pg4cOCAmD9/vtBoNGLNmjWXqwpndL71mzt3rlixYoXIysoSGRkZ4qGHHhKqqop169Zdriqc0f333y88PDxEUlJSq795DQ0NLftcCe9BmQhdIosWLRLAKT9+lpOTIwCxcePGlm2NjY3igQceEF5eXsLFxUVcd911rZKnK8nUqVNPWb//rg8gFi1aJIQQoqGhQYwaNUr4+fkJnU4n2rdvL+65556WX+JXovOtoxDOIfR/+ctfREBAgDAYDGL48OEiMzPz0gd/DsrLy8Utt9wizGazcHd3F3fddVerJO9/f0Zzc3PFoEGDhLe3tzAYDCI6Olo89thjorq6+jLV4GTvvPOOCAsLE3q9XiQkJIiffvqp5bXBgweLqVOnttp/yZIlomPHjkKv14uuXbuKVatWXeKIz8/51G/27Nkt+wYEBIhx48aJnTt3Xoaoz83Pw8X/9+PnOk2dOlUMHjz4pDI9e/YUer1eREZGtnovXmnOt36vvvqqiIqKEkajUXh7e4shQ4aIDRs2XJ7gz8Hp/ub99z25Et6DyolgJUmSJEmS2hw5akySJEmSpDZLJkKSJEmSJLVZMhGSJEmSJKnNkomQJEmSJEltlkyEJEmSJElqs2QiJEmSJElSmyUTIUmSJEmS2iyZCEmSJEmS1GbJREiSJOk8ZWZmEhgYSG1t7XmV69u3L1999dVFikqSpF9DJkKSJF0xiouLeeihh4iOjsZoNBIQEMBVV13FP/7xDxoaGs7pGIsXL8bT0/O8zvvVV1+h0WgoKCg45esdOnTgkUceafn+ySefZNasWbi5uZ1X2aeffpo5c+bgcDjOKz5Jki4emQhJknRFyM7OJi4uju+//56XXnqJ9PR0kpOTefzxx1m5ciXr1q27aOceP348Pj4+fPTRRye9tnnzZg4fPsy0adMAyM3NZeXKldx5553nXXbs2LHU1tayevXqi1YXSZLOj0yEJEm6IjzwwANotVpSU1O56aab6Ny5M5GRkUyYMIFVq1Zx7bXXAvDWW2/RvXt3XF1dCQ0N5YEHHqCurg6ApKQk7rrrLqqrq1EUBUVR+Otf/wpAc3Mzjz76KCEhIbi6upKYmEhSUhIAOp2O22+/ncWLF58U18KFC0lMTKRr164ALFmyhNjYWEJCQs67rEajYdy4cXz++ecX8MpJkvRbyERIkqTLrry8nO+//54ZM2bg6up6yn0URQFAVVXmzZvHvn37+Oijj9iwYQOPP/44AP379+ftt9/G3d2doqIiioqKePTRRwGYOXMmycnJfP755+zZs4dJkyYxZswYsrKyAJg2bRpZWVls3ry55Zx1dXV8+eWXLS06AD/++CO9e/duFdu5lgVISEjgxx9//LWXSpKkC0wmQpIkXXaHDx9GCEFMTEyr7b6+vpjNZsxmM0888QQAs2fPZujQoYSHhzNs2DD+9re/sWTJEgD0ej0eHh4oikJgYCCBgYGYzWZyc3NZtGgRS5cuZeDAgURFRfHoo48yYMAAFi1aBECXLl3o27cvCxcubDn/kiVLEEIwefLklm3Hjh0jODi4VZznWhYgODiYvLw82U9Ikq4QMhGSJOmKtX37dnbt2kXXrl1pbm4GYN26dQwfPpyQkBDc3Ny4/fbbKS8vP2Nn6oyMDOx2Ox07dmxJrMxmM5s2beLIkSMt+9199918+eWXLaPBFi5cyKRJk3Bzc2vZp7GxEaPReNI5zqUsgMlkwuFwtNRHkqTLSyZCkiRddtHR0SiKQmZmZqvtkZGRREdHYzKZADh69CjXXHMNPXr04KuvviItLY358+cDYLFYTnv8uro6NBoNaWlp7Nq1q+XjwIED/P3vf2/Z7+fWmyVLlpCVlcXWrVtPerTl6+tLZWXlSec4l7IAFRUVuLq6ttRJkqTLS3u5A5AkSfLx8WHkyJG8++67zJo167T9hNLS0nA4HLz55puoqvP/uJ8fi/1Mr9djt9tbbYuLi8Nut1NaWsrAgQNPG4ebmxuTJk1i4cKFHDlyhI4dO560f1xcHPv37/9VZQH27t1LXFzcaWOQJOnSki1CkiRdEd577z1sNhu9e/fmiy++4MCBA2RmZvLvf/+bgwcPotFoiI6Oxmq18s4775Cdnc0nn3zCggULWh0nPDycuro61q9fT1lZGQ0NDXTs2JEpU6Zwxx13sGzZMnJycti+fTsvv/wyq1atalV+2rRpbNu2jQULFnD33XefFOfo0aNJTk4+Kdk6l7Lg7Gw9atSo33ClJEm6oIQkSdIVorCwUMycOVNEREQInU4nzGazSEhIEK+//rqor68XQgjx1ltviaCgIGEymcTo0aPFxx9/LABRWVnZcpz77rtP+Pj4CEA8++yzQgghLBaLeOaZZ0R4eLjQ6XQiKChIXHfddWLPnj0nxRETEyM0Go0oLCw86TWr1SqCg4PFmjVrTlmHM5XNz88XOp1O5OXl/YqrI0nSxaAIIcTlTsYkSZJ+T+bPn88333zD2rVrz6vcE088QWVlJR988MFFikySpPMl+whJkiSdp+nTp1NVVUVtbe1Jo8LOxN/fv9VSHZIkXX6yRUiSJEmSpDZLdpaWJEmSJKnNkomQJEmSJEltlkyEJEmSJElqs2QiJEmSJElSmyUTIUmSJEmS2iyZCEmSJEmS1GbJREiSJEmSpDZLJkKSJEmSJLVZMhGSJEmSJKnN+n9dcUl4lDERJAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "d:\\_Green\\WPy64-31110\\python-3.11.1.amd64\\Lib\\site-packages\\scipy\\optimize\\_minpack_py.py:881: OptimizeWarning: Covariance of the parameters could not be estimated\n",
      "  warnings.warn('Covariance of the parameters could not be estimated',\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>Ion</th>\n",
       "      <th>Ioff</th>\n",
       "      <th>OOR</th>\n",
       "      <th>Vth(.5)</th>\n",
       "      <th>Vth(lin)</th>\n",
       "      <th>Gm</th>\n",
       "      <th>SS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Data@PMOS-DIE1.xls</td>\n",
       "      <td>26.619</td>\n",
       "      <td>20.462</td>\n",
       "      <td>3.114235</td>\n",
       "      <td>-0.821</td>\n",
       "      <td>-1315.573</td>\n",
       "      <td>4.996e+01</td>\n",
       "      <td>2.282e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Append1@PMOS-DIE1.xls</td>\n",
       "      <td>25.340</td>\n",
       "      <td>25.044</td>\n",
       "      <td>3.005108</td>\n",
       "      <td>-0.833</td>\n",
       "      <td>-1321.547</td>\n",
       "      <td>4.814e+01</td>\n",
       "      <td>2.370e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Append2@PMOS-DIE1.xls</td>\n",
       "      <td>31.168</td>\n",
       "      <td>10.211</td>\n",
       "      <td>3.484666</td>\n",
       "      <td>-0.731</td>\n",
       "      <td>-1212.788</td>\n",
       "      <td>5.452e+01</td>\n",
       "      <td>2.027e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Append3@PMOS-DIE1.xls</td>\n",
       "      <td>20.794</td>\n",
       "      <td>17.408</td>\n",
       "      <td>3.077185</td>\n",
       "      <td>-0.893</td>\n",
       "      <td>-1384.384</td>\n",
       "      <td>4.200e+01</td>\n",
       "      <td>2.426e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Append4@PMOS-DIE1.xls</td>\n",
       "      <td>24.440</td>\n",
       "      <td>21.103</td>\n",
       "      <td>3.063758</td>\n",
       "      <td>-0.827</td>\n",
       "      <td>-1324.005</td>\n",
       "      <td>4.609e+01</td>\n",
       "      <td>2.403e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Append5@PMOS-DIE1.xls</td>\n",
       "      <td>21.650</td>\n",
       "      <td>16.645</td>\n",
       "      <td>3.114159</td>\n",
       "      <td>-0.925</td>\n",
       "      <td>-1394.969</td>\n",
       "      <td>4.438e+01</td>\n",
       "      <td>2.433e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Append6@PMOS-DIE1.xls</td>\n",
       "      <td>27.081</td>\n",
       "      <td>21.371</td>\n",
       "      <td>3.102828</td>\n",
       "      <td>-0.839</td>\n",
       "      <td>-1335.276</td>\n",
       "      <td>5.238e+01</td>\n",
       "      <td>2.294e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Append7@PMOS-DIE1.xls</td>\n",
       "      <td>22.762</td>\n",
       "      <td>41.775</td>\n",
       "      <td>2.736298</td>\n",
       "      <td>-0.868</td>\n",
       "      <td>-1297.846</td>\n",
       "      <td>4.430e+01</td>\n",
       "      <td>2.459e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Append8@PMOS-DIE1.xls</td>\n",
       "      <td>33.844</td>\n",
       "      <td>30.295</td>\n",
       "      <td>3.048110</td>\n",
       "      <td>-0.812</td>\n",
       "      <td>-1310.927</td>\n",
       "      <td>6.335e+01</td>\n",
       "      <td>2.355e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Append9@PMOS-DIE1.xls</td>\n",
       "      <td>40.469</td>\n",
       "      <td>19.453</td>\n",
       "      <td>3.318120</td>\n",
       "      <td>-1.171</td>\n",
       "      <td>-1580.616</td>\n",
       "      <td>9.650e+01</td>\n",
       "      <td>2.220e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Append10@PMOS-DIE1.xls</td>\n",
       "      <td>54.187</td>\n",
       "      <td>9.935</td>\n",
       "      <td>3.736732</td>\n",
       "      <td>-0.589</td>\n",
       "      <td>-1042.062</td>\n",
       "      <td>8.352e+01</td>\n",
       "      <td>1.921e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Append11@PMOS-DIE1.xls</td>\n",
       "      <td>51.605</td>\n",
       "      <td>10.240</td>\n",
       "      <td>3.702405</td>\n",
       "      <td>-0.592</td>\n",
       "      <td>-1043.113</td>\n",
       "      <td>7.802e+01</td>\n",
       "      <td>1.935e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Append12@PMOS-DIE1.xls</td>\n",
       "      <td>48.470</td>\n",
       "      <td>8.632</td>\n",
       "      <td>3.749360</td>\n",
       "      <td>-0.607</td>\n",
       "      <td>-1070.466</td>\n",
       "      <td>7.481e+01</td>\n",
       "      <td>1.849e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Append13@PMOS-DIE1.xls</td>\n",
       "      <td>45.959</td>\n",
       "      <td>12.328</td>\n",
       "      <td>3.571468</td>\n",
       "      <td>-0.724</td>\n",
       "      <td>-1267.780</td>\n",
       "      <td>8.172e+01</td>\n",
       "      <td>2.018e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Append14@PMOS-DIE1.xls</td>\n",
       "      <td>40.661</td>\n",
       "      <td>17.502</td>\n",
       "      <td>3.366091</td>\n",
       "      <td>-1.191</td>\n",
       "      <td>-1590.460</td>\n",
       "      <td>9.929e+01</td>\n",
       "      <td>2.233e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Append15@PMOS-DIE1.xls</td>\n",
       "      <td>39.188</td>\n",
       "      <td>26.684</td>\n",
       "      <td>3.166909</td>\n",
       "      <td>-0.726</td>\n",
       "      <td>-1239.492</td>\n",
       "      <td>6.935e+01</td>\n",
       "      <td>2.197e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Append16@PMOS-DIE1.xls</td>\n",
       "      <td>33.529</td>\n",
       "      <td>54.064</td>\n",
       "      <td>2.792516</td>\n",
       "      <td>-0.835</td>\n",
       "      <td>-1311.078</td>\n",
       "      <td>6.315e+01</td>\n",
       "      <td>2.360e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Append17@PMOS-DIE1.xls</td>\n",
       "      <td>51.754</td>\n",
       "      <td>194.997</td>\n",
       "      <td>2.423914</td>\n",
       "      <td>-0.736</td>\n",
       "      <td>-1209.463</td>\n",
       "      <td>9.093e+01</td>\n",
       "      <td>3.086e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Append18@PMOS-DIE1.xls</td>\n",
       "      <td>54.065</td>\n",
       "      <td>159.377</td>\n",
       "      <td>2.530492</td>\n",
       "      <td>-0.706</td>\n",
       "      <td>-1143.717</td>\n",
       "      <td>9.038e+01</td>\n",
       "      <td>2.720e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Append19@PMOS-DIE1.xls</td>\n",
       "      <td>49.486</td>\n",
       "      <td>119.551</td>\n",
       "      <td>2.616930</td>\n",
       "      <td>-0.712</td>\n",
       "      <td>-1178.974</td>\n",
       "      <td>8.780e+01</td>\n",
       "      <td>2.614e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Data@NMOS-DIE1.xls</td>\n",
       "      <td>62.976</td>\n",
       "      <td>15.272</td>\n",
       "      <td>3.615279</td>\n",
       "      <td>0.360</td>\n",
       "      <td>720.251</td>\n",
       "      <td>8.108e+01</td>\n",
       "      <td>2.595e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Append1@NMOS-DIE1.xls</td>\n",
       "      <td>61.474</td>\n",
       "      <td>11.246</td>\n",
       "      <td>3.737677</td>\n",
       "      <td>0.534</td>\n",
       "      <td>894.513</td>\n",
       "      <td>8.412e+01</td>\n",
       "      <td>3.018e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Append2@NMOS-DIE1.xls</td>\n",
       "      <td>64.698</td>\n",
       "      <td>10.122</td>\n",
       "      <td>3.805622</td>\n",
       "      <td>0.387</td>\n",
       "      <td>751.066</td>\n",
       "      <td>8.024e+01</td>\n",
       "      <td>2.949e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Append3@NMOS-DIE1.xls</td>\n",
       "      <td>70.849</td>\n",
       "      <td>13.826</td>\n",
       "      <td>3.709646</td>\n",
       "      <td>0.227</td>\n",
       "      <td>605.791</td>\n",
       "      <td>7.420e+01</td>\n",
       "      <td>2.734e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Append4@NMOS-DIE1.xls</td>\n",
       "      <td>71.178</td>\n",
       "      <td>14.791</td>\n",
       "      <td>3.682341</td>\n",
       "      <td>0.226</td>\n",
       "      <td>612.853</td>\n",
       "      <td>7.790e+01</td>\n",
       "      <td>2.661e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Append5@NMOS-DIE1.xls</td>\n",
       "      <td>73.295</td>\n",
       "      <td>14.712</td>\n",
       "      <td>3.697392</td>\n",
       "      <td>0.250</td>\n",
       "      <td>612.458</td>\n",
       "      <td>7.632e+01</td>\n",
       "      <td>2.960e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Append6@NMOS-DIE1.xls</td>\n",
       "      <td>56.066</td>\n",
       "      <td>16.692</td>\n",
       "      <td>3.526177</td>\n",
       "      <td>0.517</td>\n",
       "      <td>920.282</td>\n",
       "      <td>8.311e+01</td>\n",
       "      <td>3.027e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Append7@NMOS-DIE1.xls</td>\n",
       "      <td>71.777</td>\n",
       "      <td>9.779</td>\n",
       "      <td>3.865686</td>\n",
       "      <td>0.218</td>\n",
       "      <td>619.716</td>\n",
       "      <td>7.623e+01</td>\n",
       "      <td>2.625e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Append8@NMOS-DIE1.xls</td>\n",
       "      <td>66.963</td>\n",
       "      <td>12.471</td>\n",
       "      <td>3.729926</td>\n",
       "      <td>0.214</td>\n",
       "      <td>603.507</td>\n",
       "      <td>7.178e+01</td>\n",
       "      <td>2.543e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Append9@NMOS-DIE1.xls</td>\n",
       "      <td>82.129</td>\n",
       "      <td>20.836</td>\n",
       "      <td>3.595691</td>\n",
       "      <td>0.303</td>\n",
       "      <td>687.597</td>\n",
       "      <td>1.016e+02</td>\n",
       "      <td>2.572e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Append10@NMOS-DIE1.xls</td>\n",
       "      <td>89.140</td>\n",
       "      <td>20.501</td>\n",
       "      <td>3.638299</td>\n",
       "      <td>0.363</td>\n",
       "      <td>751.523</td>\n",
       "      <td>1.051e+02</td>\n",
       "      <td>2.821e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Append11@NMOS-DIE1.xls</td>\n",
       "      <td>100.940</td>\n",
       "      <td>22.544</td>\n",
       "      <td>3.651023</td>\n",
       "      <td>0.263</td>\n",
       "      <td>657.663</td>\n",
       "      <td>1.083e+02</td>\n",
       "      <td>2.896e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Append12@NMOS-DIE1.xls</td>\n",
       "      <td>84.527</td>\n",
       "      <td>20.918</td>\n",
       "      <td>3.606476</td>\n",
       "      <td>0.242</td>\n",
       "      <td>631.172</td>\n",
       "      <td>8.960e+01</td>\n",
       "      <td>2.901e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Append13@NMOS-DIE1.xls</td>\n",
       "      <td>113.930</td>\n",
       "      <td>28.692</td>\n",
       "      <td>3.598874</td>\n",
       "      <td>0.324</td>\n",
       "      <td>606.645</td>\n",
       "      <td>1.261e+02</td>\n",
       "      <td>2.222e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Append14@NMOS-DIE1.xls</td>\n",
       "      <td>88.230</td>\n",
       "      <td>20.535</td>\n",
       "      <td>3.633125</td>\n",
       "      <td>0.284</td>\n",
       "      <td>649.527</td>\n",
       "      <td>1.021e+02</td>\n",
       "      <td>2.877e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Append15@NMOS-DIE1.xls</td>\n",
       "      <td>81.532</td>\n",
       "      <td>29.037</td>\n",
       "      <td>3.448374</td>\n",
       "      <td>0.297</td>\n",
       "      <td>656.329</td>\n",
       "      <td>9.191e+01</td>\n",
       "      <td>2.810e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Append16@NMOS-DIE1.xls</td>\n",
       "      <td>80.932</td>\n",
       "      <td>20.384</td>\n",
       "      <td>3.598831</td>\n",
       "      <td>0.265</td>\n",
       "      <td>651.850</td>\n",
       "      <td>8.960e+01</td>\n",
       "      <td>2.642e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Append17@NMOS-DIE1.xls</td>\n",
       "      <td>76.890</td>\n",
       "      <td>20.672</td>\n",
       "      <td>3.570480</td>\n",
       "      <td>0.358</td>\n",
       "      <td>751.863</td>\n",
       "      <td>9.482e+01</td>\n",
       "      <td>2.772e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Append18@NMOS-DIE1.xls</td>\n",
       "      <td>88.777</td>\n",
       "      <td>63.370</td>\n",
       "      <td>3.146420</td>\n",
       "      <td>0.276</td>\n",
       "      <td>631.168</td>\n",
       "      <td>9.486e+01</td>\n",
       "      <td>3.374e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Append19@NMOS-DIE1.xls</td>\n",
       "      <td>92.421</td>\n",
       "      <td>59.907</td>\n",
       "      <td>3.188289</td>\n",
       "      <td>0.328</td>\n",
       "      <td>694.395</td>\n",
       "      <td>1.145e+02</td>\n",
       "      <td>3.286e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Append20@NMOS-DIE1.xls</td>\n",
       "      <td>89.689</td>\n",
       "      <td>49.620</td>\n",
       "      <td>3.257087</td>\n",
       "      <td>0.310</td>\n",
       "      <td>657.259</td>\n",
       "      <td>9.674e+01</td>\n",
       "      <td>3.104e+02</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      name      Ion     Ioff       OOR Vth(.5)   Vth(lin)  \\\n",
       "0       Data@PMOS-DIE1.xls   26.619   20.462  3.114235  -0.821  -1315.573   \n",
       "1    Append1@PMOS-DIE1.xls   25.340   25.044  3.005108  -0.833  -1321.547   \n",
       "2    Append2@PMOS-DIE1.xls   31.168   10.211  3.484666  -0.731  -1212.788   \n",
       "3    Append3@PMOS-DIE1.xls   20.794   17.408  3.077185  -0.893  -1384.384   \n",
       "4    Append4@PMOS-DIE1.xls   24.440   21.103  3.063758  -0.827  -1324.005   \n",
       "5    Append5@PMOS-DIE1.xls   21.650   16.645  3.114159  -0.925  -1394.969   \n",
       "6    Append6@PMOS-DIE1.xls   27.081   21.371  3.102828  -0.839  -1335.276   \n",
       "7    Append7@PMOS-DIE1.xls   22.762   41.775  2.736298  -0.868  -1297.846   \n",
       "8    Append8@PMOS-DIE1.xls   33.844   30.295  3.048110  -0.812  -1310.927   \n",
       "9    Append9@PMOS-DIE1.xls   40.469   19.453  3.318120  -1.171  -1580.616   \n",
       "10  Append10@PMOS-DIE1.xls   54.187    9.935  3.736732  -0.589  -1042.062   \n",
       "11  Append11@PMOS-DIE1.xls   51.605   10.240  3.702405  -0.592  -1043.113   \n",
       "12  Append12@PMOS-DIE1.xls   48.470    8.632  3.749360  -0.607  -1070.466   \n",
       "13  Append13@PMOS-DIE1.xls   45.959   12.328  3.571468  -0.724  -1267.780   \n",
       "14  Append14@PMOS-DIE1.xls   40.661   17.502  3.366091  -1.191  -1590.460   \n",
       "15  Append15@PMOS-DIE1.xls   39.188   26.684  3.166909  -0.726  -1239.492   \n",
       "16  Append16@PMOS-DIE1.xls   33.529   54.064  2.792516  -0.835  -1311.078   \n",
       "17  Append17@PMOS-DIE1.xls   51.754  194.997  2.423914  -0.736  -1209.463   \n",
       "18  Append18@PMOS-DIE1.xls   54.065  159.377  2.530492  -0.706  -1143.717   \n",
       "19  Append19@PMOS-DIE1.xls   49.486  119.551  2.616930  -0.712  -1178.974   \n",
       "20      Data@NMOS-DIE1.xls   62.976   15.272  3.615279   0.360    720.251   \n",
       "21   Append1@NMOS-DIE1.xls   61.474   11.246  3.737677   0.534    894.513   \n",
       "22   Append2@NMOS-DIE1.xls   64.698   10.122  3.805622   0.387    751.066   \n",
       "23   Append3@NMOS-DIE1.xls   70.849   13.826  3.709646   0.227    605.791   \n",
       "24   Append4@NMOS-DIE1.xls   71.178   14.791  3.682341   0.226    612.853   \n",
       "25   Append5@NMOS-DIE1.xls   73.295   14.712  3.697392   0.250    612.458   \n",
       "26   Append6@NMOS-DIE1.xls   56.066   16.692  3.526177   0.517    920.282   \n",
       "27   Append7@NMOS-DIE1.xls   71.777    9.779  3.865686   0.218    619.716   \n",
       "28   Append8@NMOS-DIE1.xls   66.963   12.471  3.729926   0.214    603.507   \n",
       "29   Append9@NMOS-DIE1.xls   82.129   20.836  3.595691   0.303    687.597   \n",
       "30  Append10@NMOS-DIE1.xls   89.140   20.501  3.638299   0.363    751.523   \n",
       "31  Append11@NMOS-DIE1.xls  100.940   22.544  3.651023   0.263    657.663   \n",
       "32  Append12@NMOS-DIE1.xls   84.527   20.918  3.606476   0.242    631.172   \n",
       "33  Append13@NMOS-DIE1.xls  113.930   28.692  3.598874   0.324    606.645   \n",
       "34  Append14@NMOS-DIE1.xls   88.230   20.535  3.633125   0.284    649.527   \n",
       "35  Append15@NMOS-DIE1.xls   81.532   29.037  3.448374   0.297    656.329   \n",
       "36  Append16@NMOS-DIE1.xls   80.932   20.384  3.598831   0.265    651.850   \n",
       "37  Append17@NMOS-DIE1.xls   76.890   20.672  3.570480   0.358    751.863   \n",
       "38  Append18@NMOS-DIE1.xls   88.777   63.370  3.146420   0.276    631.168   \n",
       "39  Append19@NMOS-DIE1.xls   92.421   59.907  3.188289   0.328    694.395   \n",
       "40  Append20@NMOS-DIE1.xls   89.689   49.620  3.257087   0.310    657.259   \n",
       "\n",
       "           Gm         SS  \n",
       "0   4.996e+01  2.282e+02  \n",
       "1   4.814e+01  2.370e+02  \n",
       "2   5.452e+01  2.027e+02  \n",
       "3   4.200e+01  2.426e+02  \n",
       "4   4.609e+01  2.403e+02  \n",
       "5   4.438e+01  2.433e+02  \n",
       "6   5.238e+01  2.294e+02  \n",
       "7   4.430e+01  2.459e+02  \n",
       "8   6.335e+01  2.355e+02  \n",
       "9   9.650e+01  2.220e+02  \n",
       "10  8.352e+01  1.921e+02  \n",
       "11  7.802e+01  1.935e+02  \n",
       "12  7.481e+01  1.849e+02  \n",
       "13  8.172e+01  2.018e+02  \n",
       "14  9.929e+01  2.233e+02  \n",
       "15  6.935e+01  2.197e+02  \n",
       "16  6.315e+01  2.360e+02  \n",
       "17  9.093e+01  3.086e+02  \n",
       "18  9.038e+01  2.720e+02  \n",
       "19  8.780e+01  2.614e+02  \n",
       "20  8.108e+01  2.595e+02  \n",
       "21  8.412e+01  3.018e+02  \n",
       "22  8.024e+01  2.949e+02  \n",
       "23  7.420e+01  2.734e+02  \n",
       "24  7.790e+01  2.661e+02  \n",
       "25  7.632e+01  2.960e+02  \n",
       "26  8.311e+01  3.027e+02  \n",
       "27  7.623e+01  2.625e+02  \n",
       "28  7.178e+01  2.543e+02  \n",
       "29  1.016e+02  2.572e+02  \n",
       "30  1.051e+02  2.821e+02  \n",
       "31  1.083e+02  2.896e+02  \n",
       "32  8.960e+01  2.901e+02  \n",
       "33  1.261e+02  2.222e+02  \n",
       "34  1.021e+02  2.877e+02  \n",
       "35  9.191e+01  2.810e+02  \n",
       "36  8.960e+01  2.642e+02  \n",
       "37  9.482e+01  2.772e+02  \n",
       "38  9.486e+01  3.374e+02  \n",
       "39  1.145e+02  3.286e+02  \n",
       "40  9.674e+01  3.104e+02  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./result/1733792942.2011323.xlsx已经保存\n"
     ]
    }
   ],
   "source": [
    "#读取所有曲线的电学参数\n",
    "import numpy as np\n",
    "import pandas\n",
    "import gTdev\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "currentType = ['DrainI',\"SourceI\"][0]\n",
    "\n",
    "plt.style.use('default')\n",
    "######绘制图像#####\n",
    "plt.title(\"Transfer Curve Analysis\")\n",
    "plt.xlabel(\"GateV(V)\")\n",
    "plt.ylabel(currentType+\"(A)\")\n",
    "plt.yscale(\"log\")#对数坐标，如果需要线性坐标可以注释掉这一行\n",
    "\n",
    "######读取文件并提取曲线#####\n",
    "# 文件名要包含key，X_Axis和Y_Axis为excel中栅压和元漏电流对应的列名\n",
    "testFiles = gTdev.gtfile(location='./data',key=\"MOS-DIE\",X_Axis='GateV',Y_Axis=currentType,absY=True)\n",
    "for curve in testFiles.curves:\n",
    "    plt.plot(curve.x,curve.y)\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "result = []\n",
    "for curve in testFiles.curves:\n",
    "    row = []\n",
    "    row.append(curve.name)\n",
    "    a = gTdev.transcurve(Id=curve.y,Vgs=curve.x)\n",
    "    row= row + [\"{:.3f}\".format(np.abs(a.Ion.num*1e6)), \"{:.3f}\".format(np.abs(a.Ioff.num*1e9)), a.OOR.num]   \n",
    "    row.append(\"{:.3f}\".format(a.getVth(0).num))\n",
    "    row.append(\"{:.3f}\".format(a.getVth(1).num * 1000))\n",
    "    row.append(\"{:.3e}\".format(a.Gm.num * 1000000))\n",
    "    row.append(\"{:.3e}\".format(a.SS.num * 1000))\n",
    "    result.append(row)\n",
    "result = pandas.DataFrame(result, columns=['name','Ion','Ioff','OOR','Vth(.5)','Vth(lin)','Gm','SS'])\n",
    "\n",
    "display(result)\n",
    "import time\n",
    "timetag = time.time()\n",
    "result.to_excel(f\"./result/{timetag}.xlsx\")\n",
    "print(f\"./result/{timetag}.xlsx已经保存\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 回滞分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING *** file size (762835) not 512 + multiple of sector size (512)\n",
      "WARNING *** OLE2 inconsistency: SSCS size is 0 but SSAT size is non-zero\n",
      "WARNING *** file size (122330) not 512 + multiple of sector size (512)\n",
      "WARNING *** OLE2 inconsistency: SSCS size is 0 but SSAT size is non-zero\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>newhys</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Data@NMOS-HYS1.xls</td>\n",
       "      <td>0.128071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Append1@NMOS-HYS1.xls</td>\n",
       "      <td>0.107422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Append2@NMOS-HYS1.xls</td>\n",
       "      <td>0.143262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Data@PMOS-HYS1.xls</td>\n",
       "      <td>0.601949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Append1@PMOS-HYS1.xls</td>\n",
       "      <td>0.582206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Append2@PMOS-HYS1.xls</td>\n",
       "      <td>0.517421</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    name    newhys\n",
       "0     Data@NMOS-HYS1.xls  0.128071\n",
       "1  Append1@NMOS-HYS1.xls  0.107422\n",
       "2  Append2@NMOS-HYS1.xls  0.143262\n",
       "3     Data@PMOS-HYS1.xls  0.601949\n",
       "4  Append1@PMOS-HYS1.xls  0.582206\n",
       "5  Append2@PMOS-HYS1.xls  0.517421"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#读取所有曲线的电学参数\n",
    "import numpy as np\n",
    "import pandas\n",
    "import gTdev\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "######读取文件并提取曲线#####\n",
    "testFiles = gTdev.gtfile(location='./data',key=\"HYS\",absY=True)\n",
    "\n",
    "######绘制图像#####\n",
    "plt.title(\"Hys Analysis\")\n",
    "plt.xlabel(\"GateV(V)\")\n",
    "plt.ylabel(\"DrainI(A)\")\n",
    "plt.yscale(\"log\")#对数坐标，如果需要线性坐标可以注释掉这一行\n",
    "#绘制图像\n",
    "#testFiles.cutcurve(-4.4,1)\n",
    "testFiles.curves.sort(key = lambda x:x.name.split('@')[1],reverse=False)\n",
    "#testFiles.curves.sort(key = lambda x:eval(x.name[5:-6]),reverse=False)\n",
    "for curve in testFiles.curves:\n",
    "    a = gTdev.transcurve(Id=curve.y,Vgs=curve.x)\n",
    "\n",
    "plt.style.use('default')\n",
    "    \n",
    "######解析数据#####\n",
    "result = []\n",
    "for curve in testFiles.curves:\n",
    "    row = []\n",
    "    row.append(curve.name)\n",
    "\n",
    "    a = gTdev.transcurve(Id=curve.y,Vgs=curve.x)\n",
    "    oldhys = a.getHys(0)\n",
    "    newhys = a.getHys(1)\n",
    "    crs1 = a.hyscross1\n",
    "    crs2 = a.hyscross2\n",
    "    plt.plot(curve.x,curve.y,label=\"{:.3f}V\".format(newhys.num))\n",
    "    row= row + [newhys.num]   \n",
    "    result.append(row)\n",
    "line = (a.Ion.num*a.Ioff.num)**0.5\n",
    "\n",
    "result = pandas.DataFrame(result, columns=['name','newhys'])\n",
    "\n",
    "plt.legend(ncol=3)\n",
    "from IPython.display import display\n",
    "display(result)\n",
    "#import time\n",
    "#result.to_excel(f\"./result/{time.time()}.xlsx\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 以第一条曲线为例，提取相关参数\n",
    "## 亚阈值摆幅SS\n",
    "- 定义：亚阈值区域中dVgs/dlog(Ids)\n",
    "- 对数坐标中求导，找到斜率最大的Vgs点\n",
    "- 在跨导最大的点两侧，将斜率大于0.85最大斜率的所有点作为线性区\n",
    "- 对线性区的点进行线性拟合的斜率即为亚阈值摆幅"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2.0, 1.9800000190734863, 1.9600000381469727, 1.940000057220459, 1.9199999570846558, 1.899999976158142, 1.8799999952316284, 1.8600000143051147, 1.840000033378601, 1.8200000524520874, 1.7999999523162842, 1.7799999713897705, 1.7599999904632568, 1.7400000095367432, 1.7200000286102295, 1.7000000476837158, 1.6799999475479126, 1.659999966621399, 1.6399999856948853, 1.6200000047683716, 1.600000023841858, 1.5800000429153442, 1.559999942779541, 1.5399999618530273, 1.5199999809265137, 1.5, 1.4800000190734863, 1.4600000381469727, 1.440000057220459, 1.4199999570846558, 1.399999976158142, 1.3799999952316284, 1.3600000143051147, 1.340000033378601, 1.3200000524520874, 1.2999999523162842, 1.2799999713897705, 1.2599999904632568, 1.2400000095367432, 1.2200000286102295, 1.2000000476837158, 1.1799999475479126, 1.159999966621399, 1.1399999856948853, 1.1200000047683716, 1.100000023841858, 1.0800000429153442, 1.059999942779541, 1.0399999618530273, 1.0199999809265137, 1.0, 0.9800000190734863, 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      "[72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\wickn\\AppData\\Local\\Temp\\ipykernel_24424\\1534810619.py:24: RuntimeWarning: divide by zero encountered in double_scalars\n",
      "  dy = [abs((oy[i]-oy[i+1])/(x[i]-x[i+1]))\n",
      "C:\\Users\\wickn\\AppData\\Local\\Temp\\ipykernel_24424\\1534810619.py:26: RuntimeWarning: divide by zero encountered in double_scalars\n",
      "  dyn = [abs((oy[i]-oy[i+1])/(x[i]-x[i+1]))\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "382.4771503035249"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制图像\n",
    "\n",
    "plt.title(\"TransCurve\")\n",
    "plt.xlabel(\"Vgs (V)\")\n",
    "plt.ylabel(\"logId\")\n",
    "import numpy as np\n",
    "from gTdev import gtcurve\n",
    "\n",
    "\n",
    "result = []\n",
    "#可以修改下标查看其他曲线0为第一条，1为第二条以此类推。\n",
    "curve = testFiles.curves[0]\n",
    "x = curve.x\n",
    "y = curve.y\n",
    "def dataAbove(x,y,limit):\n",
    "    return ([a[0] for a in zip(x,y) if abs(a[1])>abs(limit)], [a[1] for a in zip(x,y) if abs(a[1])>abs(limit)])    \n",
    "x,y = dataAbove(x,y,1e-9)\n",
    "print(x,y)\n",
    "\n",
    "oy = gtcurve.smooth(list(np.log10(y)))\n",
    "\n",
    "plt.plot(x,oy,label='origin')\n",
    "\n",
    "dy = [abs((oy[i]-oy[i+1])/(x[i]-x[i+1])) \n",
    "      for i in range(len(x)-1)]\n",
    "dyn = [abs((oy[i]-oy[i+1])/(x[i]-x[i+1])) \n",
    "      for i in range(len(x)-1)]\n",
    "dx = x[:-1]\n",
    "plt.plot(dx,dyn,label='diff')\n",
    "def getSS(x,y):\n",
    "    \n",
    "    Vgs,Id = gtcurve.noBack(x,y)\n",
    "    \n",
    "    alId=np.log10(abs(np.array(Id)))\n",
    "    reg=gtcurve.linearOfCurve(Vgs,alId,0.85)\n",
    "    plt.plot((x[reg[0]],x[reg[0]]),(-9,0),'g--')\n",
    "    plt.plot((x[reg[-1]],x[reg[-1]]),(-9,0),'g--')\n",
    "    print(reg)\n",
    "    xdata=np.array(Vgs)[reg]\n",
    "    ydata=np.array(alId)[reg]\n",
    "    p = gtcurve.linearFit(xdata,ydata)\n",
    "    plt.plot(\n",
    "        (x[reg[0]],x[reg[-1]]),\n",
    "        (\n",
    "        p[1]*x[reg[0]]-p[0],\n",
    "        p[1]*x[reg[-1]]-p[0]),'r',linewidth=3,label='lineRegion')\n",
    "    SS=1/abs(p[1])\n",
    "    plt.legend()\n",
    "    return SS\n",
    "getSS(x,y)*1000"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 阈值电压(Vth)\n",
    "- 1：线性反向延长法\n",
    "    - 求斜率，以斜率最大点左右，斜率大于0.85倍最大斜率的所有点为线性区\n",
    "    - 线性回归，然后反向延长，与x轴的交点作为阈值电压\n",
    "- 0: 印刷电子学法\n",
    "    - 将电流开根号\n",
    "    - 一下步骤同线性反向延长法\n",
    "- 2：最大跨导法\n",
    "    - 以跨导最大值的Vgs作为阈值电压"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "ename": "ModuleNotFoundError",
     "evalue": "No module named 'gtdev'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[4], line 7\u001b[0m\n\u001b[0;32m      5\u001b[0m plt\u001b[38;5;241m.\u001b[39mylabel(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mId (A)\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m      6\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mnumpy\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mnp\u001b[39;00m\n\u001b[1;32m----> 7\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mgtdev\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m gtcurve\n\u001b[0;32m     10\u001b[0m result \u001b[38;5;241m=\u001b[39m []\n\u001b[0;32m     11\u001b[0m \u001b[38;5;66;03m#可以修改下标查看其他曲线0为第一条，1为第二条以此类推。\u001b[39;00m\n",
      "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'gtdev'"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制图像\n",
    "#plt.figure(figsize=(6,6))\n",
    "plt.title(\"Linear Region\")\n",
    "plt.xlabel(\"Vgs (V)\")\n",
    "plt.ylabel(\"Id (A)\")\n",
    "import numpy as np\n",
    "from gTdev import gtcurve\n",
    "\n",
    "\n",
    "result = []\n",
    "#可以修改下标查看其他曲线0为第一条，1为第二条以此类推。\n",
    "curve = testFiles.curves[0]\n",
    "x = curve.x\n",
    "y = gtcurve.smooth(curve.y)\n",
    "#plt.plot(curve.x,y,label=\"original\")\n",
    "def dif(x,y):\n",
    "    dy = [abs((y[i]-y[i+1])/(x[i]-x[i+1])) \n",
    "      for i in range(len(x)-1)]\n",
    "    dx = x[:-1]\n",
    "    return dx,dy\n",
    "#plt.plot(dx,dy)\n",
    "def getVth(x,y):\n",
    "    Vgs,Id = gtcurve.noBack(x,y)\n",
    "    haId=abs(np.array(Id))**.5\n",
    "    #haId=abs(np.array(Id))\n",
    "    plt.plot(Vgs,haId,label=\"original\")\n",
    "    plt.plot(*dif(Vgs,haId),label=\"diff\")\n",
    "    reg=gtcurve.linearOfCurve(Vgs,haId)\n",
    "    plt.plot((x[reg[0]],x[reg[0]]),(0,0.005),'r--',label='lineReg')\n",
    "    plt.plot((x[reg[-1]],x[reg[-1]]),(0,0.005),'r--')\n",
    "    xdata=np.array(Vgs)[reg]\n",
    "    ydata=np.array(haId)[reg]\n",
    "    p = gtcurve.linearFit(xdata,ydata)\n",
    "    plt.plot(\n",
    "        (x[reg[0]],p[0]/p[1]),\n",
    "        (\n",
    "        p[1]*x[reg[0]]-p[0],\n",
    "        0),'y--',linewidth=3,label='line')\n",
    "    Vth=p[0]/p[1]\n",
    "    plt.legend()\n",
    "    plt.autoscale(axis='y',tight=True)\n",
    "    plt.show()\n",
    "    return Vth\n",
    "print(getVth(curve.x,curve.y))"
   ]
  }
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